[] L. Bruzzone, C. Persello, B. Demir, "Active Learning Methods in Classification of Remote Sensing Images, in Signal and Image Processing for Remote Sensing", 2nd Edition, Ed: Prof. C.H. Chen, CRC Press - Taylor & Francis, Chapter 15, 2012, pp. 303-323.

[] L. Bruzzone, B. Demir, "A Review of Modern Approaches to Classification of Remote Sensing Data, in Land Use and Land Cover Mapping Europe, Practices and Trends", Eds: I. Manakos, M. Braun, EARSeL Book Series, Springer Verlag, Chapter 9, 2014, pp. 127-143.

[] L. Bruzzone, B. Demir, F. Bovolo, "Recent Advances in Remote Sensing Time Series Image Classification", Pattern Recognition and Big Data, World Scientific, 2017, pp. 713 -734.

[] G. Sumbul, J. Kang, B. Demir, "Deep Learning for Image Search and Retrieval in Large Remote Sensing Archives", in "Deep learning for the Earth Sciences: A Comprehensive Approach to Remote Sensing, Climate Science and Geosciences", John Wiley & Sons, ISBN: 978-1-119-64614-3, (to appear) 2021.

[] G. Sumbul, M. Ravanbakhsh, B. Demir, "Informative and Representative Triplet Selection for Multi-Label Remote Sensing Image Retrieval", IEEE Transactions on Geoscience and Remote Sensing, in press, 2021.

[] G. Sumbul, A. d. Wall, T. Kreuziger, F. Marcelino, H. Costa, P. Benevides, M. Caetano, B. Demir, V. Markl, "BigEarthNet-MM: A Large Scale Multi-Modal Multi-Label Benchmark Archive for Remote Sensing Image Classification and Retrieval", IEEE Geoscience and Remote Sensing Magazine, vol. 9, no. 3, pp. 174-180, Sept. 2021.

[] G. Sumbul. S. Nayak, B. Demir, "SD-RSIC: Summarization Driven Deep Remote Sensing Image Captioning", IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 8, 2021.

[] A. P. Byju, G. Sumbul, B. Demir, L. Bruzzone, "Remote Sensing Image Scene Classification with Deep Neural Networks in JPEG 2000 Compressed Domain", IEEE Transactions on Geoscience and Remote Sensing, vol. 59, no. 4, pp. 3458-3472, 2021.

[] S. Roy, E. Sangineto, B. Demir, N. Sebe, "Metric-Learning based Deep Hashing Network for Content Based Retrieval of Remote Sensing Images", IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 2, pp. 226-230, 2021.

[] R. Fernandez-Beltran, B. Demir, F. Pla and A. Plaza, "Unsupervised Remote Sensing Image Retrieval using Probabilistic Latent Semantic Hashing", IEEE Geoscience and Remote Sensing Letters, vol. 18, no. 2, pp. 256-260, 2021.

[] G. Hoxha, F. Melgani, B. Demir, "Toward Remote Sensing Image Retrieval under a Deep Image Captioning Perspective", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 13, pp. 4462-4475, 2020.

[] A. P. Byju, B. Demir, L. Bruzzone, "A Progressive Content Based Image Retrieval in JPEG 2000 Compressed Remote Sensing Archives", IEEE Transactions on Geoscience and Remote Sensing, vol. 58, no. 8, pp. 5739-5751, 2020.

[] G. Sumbul, B. Demir, "A Deep Multi-Attention Driven Approach for Multi-Label Remote Sensing Image Classification", IEEE Access, vol. 8, pp. 95934-95946, 2020.

[] H. M. Nguyen, B. Demir, and M. Dalponte, "A Weighted SVM-Based Approach to Tree Species Classification at Individual Tree Crown Level Using LiDAR Data", MDPI Remote Sensing, vol. 11, no. 24, pp. 2948, 2019.

[] M. L. Mekhalfi, M. B. Bejiga, D. Soresina, F. Melgani, B. Demir, "Capsule Networks for Object Detection in UAV Imagery", MDPI Remote Sensing, vol. 11, no. 14, pp. 1694, 2019.

[] L. De Gregorio, M. Callegari, C. Marin, M. Zebisch, L. Bruzzone, B. Demir, U. Strasser, T. Marke, D. Günther, R. Nadalet, C. Notarnicola, "A Novel Data Fusion Technique for Snow Cover Retrieval", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 12, no. 8, pp. 2862-2877, 2019.

[] T. Reato, B. Demir, L. Bruzzone, "An Unsupervised Multicode Hashing Method for Accurate and Scalable Remote Sensing Image Retrieval", IEEE Geoscience and Remote Sensing Letters, vol. 16, no. 2, pp. 276- 280, Feb. 2019.

[] O. E. Dai, B. Demir, B. Sankur, L. Bruzzone, "A Novel System for Content based Retrieval of Single and Multi-Label High Dimensional Remote Sensing Images", IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 11, no. 7, pp. 2473-2490, 2018.

[] S. Niazmardi, B. Demir, L. Bruzzone, A. Safari and S. Homayouni, "Multiple Kernel Learning for Remote Sensing Image Classification", IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 3, pp. 1425-1443, 2018.

[] B. Chaudhuri, B. Demir, S. Chaudhuri, L. Bruzzone, "Multi-label Remote Sensing Image Retrieval using a Semi-Supervised Graph-Theoretic Method", IEEE Transactions on Geoscience and Remote Sensing, vol. 56, no. 2, pp. 1144-1158, 2018.

[] P.G. Bascoy, P. Quesada-Barriuso, D. B. Heras, F. Arguello, B. Demir, L. Bruzzone, "Extended Attribute Profiles on GPU Applied to Hyperspectral Image Classification", Journal of Supercomputing, Nov. 2018.

[] B. Chaudhuri, B. Demir, L. Bruzzone, S. Chaudhuri, "Region-Based Retrieval of Remote Sensing Images using an Unsupervised Graph-Theoretic Approach", IEEE Geoscience and Remote Sensing Letters, vol. 13, no.7, pp. 987-991, 2016.

[] D. Castelletti, L. Pasolli, L. Bruzzone, C. Notarnicola, and B. Demir, "A Novel Hybrid Method for the Correction of the Theoretical Model Inversion in Bio/Geophysical Parameter Estimation", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no.8, pp. 4764 - 4774, 2016.

[] B. Demir, L. Bruzzone, "Histogram Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no.4, pp. 2096-2107, 2016.

[] B. Demir, L. Bruzzone, "Hashing Based Scalable Remote Sensing Image Search and Retrieval in Large Archives", IEEE Transactions on Geoscience and Remote Sensing, vol. 54, no.2, pp. 892-904, 2016.

[] B. Demir, L. Bruzzone, "A Novel Active Learning Method in Relevance Feedback for Content Based Remote Sensing Image Retrieval", IEEE Transactions on Geoscience and Remote Sensing, vol. 53, no.5, pp. 2323 – 2334, 2015.

[] B. Demir, L. Bruzzone, "A Multiple Criteria Active Learning Method for Support Vector Regression", Pattern Recognition, vol. 47, no. 7, pp. 2558–2567, 2014.

[] B. Demir, L. Minello, L. Bruzzone, "An Effective Strategy to Reduce the Labeling Cost in the Definition of Training Sets by Active Learning", IEEE Geoscience and Remote Sensing Letters, vol. 11, no. 1, pp.79-83, 2014.

[] B. Demir, L. Minello, L. Bruzzone, "Definition of Effective Training Sets for Supervised Classification of Remote Sensing Images by a Novel Cost-Sensitive Active Learning Method", IEEE Transactions on Geoscience and Remote Sensing, vol. 52, no. 2, pp.1272-1284, 2014.

[] B. Demir, F. Bovolo, L. Bruzzone, "Classification of Image Time Series with Limited Training Data", IEEE Transactions on Image Processing, vol. 22, no. 8, pp.3219-3233, 2013.

[] B. Demir, F. Bovolo, L. Bruzzone, "Updating Land-Cover Maps by Classification of Image Time Series: A Novel Change-Detection-Driven Transfer Learning Approach", IEEE Transactions on Geoscience and Remote Sensing, vol.51, no.1, pp. 300-312, 2013.

[] B. Demir, F. Bovolo, L. Bruzzone, "Detection of land-cover transitions in multitemporal remote sensing images with active learning based compound classification", IEEE Transactions on Geoscience and Remote Sensing, vol.50, no.5, pp. 1930-1941, 2012.

[] B. Demir, C. Persello, L. Bruzzone, "Batch mode active learning methods for the interactive classification of remote sensing images", IEEE Transactions on Geoscience and Remote Sensing, vol. 49, no.3, pp. 1014-1031, 2011.

[] B. Demir, S. Ertürk, M. K. Güllü, "Hyperspectral image classification using denoising of intrinsic mode functions", IEEE Geoscience and Remote Sensing Letters, vol.8, no.2, 2011.

[] B. Demir, S. Ertürk, "Empirical mode decomposition of hyperspectral images for support vector machine classification", IEEE Transactions on Geoscience and Remote Sensing, vol.48, no.11, pp.4071-4084, 2010.

[] B. Demir, S. Ertürk, "Clustering based Extraction of Border Training Patterns for Accurate SVM Classification of Hyperspectral Images", IEEE Geoscience and Remote Sensing Letters, Vol. 6, No. 4, pp. 840-844, Oct 2009.

[] B. Demir, A. Çelebi, S. Ertürk, "A Low-Complexity Approach for Color Display of Hyperspectral Remote-Sensing Images Using One-Bit Transform Based Band Selection", IEEE Transactions on Geoscience and Remote Sensing, vol. 47, no. 1, pp. 97-105, January 2009.

[] Y. Yapıcı, B. Demir, S. Ertürk, O. Urhan, "Down-sampling Based Multiple Description Image Coding using Optimal Filtering", Journal of Electronic Imaging, Vol. 17, No. 3, Article ID 033018, July 2008.

[] B. Demir, S. Ertürk, "Improved Classification and Segmentation of Hyperspectral Images Using Spectral Warping", International Journal of Remote Sensing, vol. 29, pp. 3657-3663, June 2008.

[] B. Demir, S. Ertürk, "Phase Correlation based Redundancy Removal in Feature Weighting Band Selection for Hyperspectral Images", International Journal of Remote Sensing, no. 29, pp. 1801-1807, 2008.

[] B. Demir, S. Ertürk, "Hyperspectral Image Classification Using Relevance Vector Machines", IEEE Geoscience and Remote Sensing Letters, no.4, vol.4, pp.586-590, 2007.

[] B. Demir, S. Ertürk, "Block Motion Estimation Using Adaptive Modified Two-Bit Transform", IET Image Processing, Vol.1, No.2, pp.215-222, 2007.

[] G. Mikriukov, M. Ravanbakhsh, B. Demir, "Unsupervised Contrastive Hashing for Cross-Modal Retrieval in Remote Sensing", International Conference on Acoustics, Speech, & Signal Processing (ICASSP), Singapore, 2022.

[] A. K. Aksoy, M. Ravanbakhsh, T. Kreuziger, B. Demir, "A Consensual Collaborative Learning Method for Remote Sensing Image Classification Under Noisy Multi-Labels", IEEE International Conference on Image Processing, Alaska, USA, Sep. 2021.

[] S. Lobry, B. Demir, D. Tuia, "RSVQA Meets BigearthNet: A New, Large-Scale, Visual Question Answering Dataset For Remote Sensing", IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.

[] G. Sumbul, B. Demir, "A Novel Graph-Theoretic Deep Representation Learning Method For Multi-Label Remote Sensing Image Retrieval", IEEE International Geoscience and Remote Sensing Symposium, Brussels, Belgium, 2021.

[] A. de Wall, B. Deiseroth, E. T. Zacharatou, J.-A. Quiané-Ruiz, B. Demir and V. Markl, "Agora-EO: A Unified Ecosystem for Earth Observation - A Vision for Boosting EO Data Literacy", Big Data from Space Conference, 2021.

[] F. van Geffen, B. Heim, U. Herzschuh, L. Pestryakova, E. Zakharov, R. Hänsch, B. Demir, B. Kleinschmit, M. Förster, and S. Kruse, 'SiDroForest Siberian Drone-mapped Forest inventory,' EGU General Assembly, 2021.

[] H. Yessou, G. Sumbul, B. Demir, "A Comparative Study of Deep Learning Loss Functions for Multi-Label Remote Sensing Image Classification", IEEE International Geoscience and Remote Sensing Symposium, pp. 1349-1352, Hawaii, USA, 2020.

[] J. L. Holgado Alvarez, M. Ravanbakhsh, B. Demir, "S2-cGAN: Self-Supervised Adversarial Representation Learning for Binary Change Detection in Multispectral Images", IEEE International Geoscience and Remote Sensing Symposium, pp. 2515-2518, Hawaii, USA, 2020.

[] K. Zhang, G. Sumbul, B. Demir, "An Approach to Super-Resolution of Sentinel-2 Images based on Generative Adversarial Networks", IEEE Mediterranean and Middle-East Geoscience and Remote Sensing Symposium", pp. 69-72, Tunis, Tunisia, 2020.

[] A. P. Byju, G. Sumbul, B. Demir, L. Bruzzone, "Approximating JPEG 2000 wavelet representation through deep neural networks for remote sensing image scene classification", SPIE Image and Signal Processing for Remote Sensing, Strasbourg, France, 2019.

[] G. Sumbul, M. Charfuelan, B. Demir, V. Markl, "BIGEARTHNET: A Large-Scale Benchmark Archive for Remote Sensing Image Understanding", IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019.

[] G. Sumbul, B. Demir, "A Novel Multi-Attention Driven System for Multi-Label Remote Sensing Image Classification", IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019.

[] G. Hoxha, F. Melgani, B. Demir, "Retrieving Images with Generated Textual Descriptions", IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019.

[] H. M. Nguyen, B. Demir, M. Dalponte, "Weighted Support Vector Machines for Tree Species Classification using Lidar Data", IEEE International Geoscience and Remote Sensing Symposium, Yokohama, Japan, 2019.

[] K. Bereta, M. Koubarakis, S. Manegold, G. Stamoulis, B. Demir, "From Big Data to Big Information and Big Knowledge: the Case of Earth Observation Data", Proceedings of the 27th ACM International Conference on Information and Knowledge Management, 2018.

[] B. T. Zegeye, B. Demir, "A novel active learning technique for multilabel remote sensing image scene classification", SPIE Image and Signal Processing for Remote Sensing, Berlin, 2018.

[] A. P. Byju, B. Demir, L. Bruzzone, "A novel coarse-to-fine remote sensing image retrieval system in JPEG-2000 compressed domain", SPIE Image and Signal Processing for Remote Sensing, Berlin, 2018.

[] S. Roy, E. Sangineto, B. Demir, N. Sebe, "Deep Metric and Hash-Code Learning for Content-Based Retrieval of Remote Sensing Images", International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018.

[] I. Tekeste, B. Demir, "Advanced Local Binary Patterns for Remote Sensing Image Retrieval", International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018.

[] S. Roy, E. Sangineto, B. Demir, N. Sebe, "Semantic-Fusion GANs for Semi-Supervised Satellite Image Classification", International Conference on Image Processing, Athens, Greece, 2018.

[] L. De Gregorio, M. Callegari, C. Marin, M. Zebisch, L. Bruzzone, B. Demir, U. Strasser, D. Günther, T. Marke, C. Notarnicola, "A Novel Data Fusion Technique for Snow Parameter Retrieval", International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018.

[] M. Callegari, C. Marin, D. Günther, P. Rastner, L. Bruzzone, B. Demir, T. Marke, U. Strasser, M. Zebisch, C. Notarnicola, "Integration of Remote Sensing with a Hydroclimatological Model for an Improved Monitoring of Alpine Glaciers", International Geoscience and Remote Sensing Symposium, Valencia, Spain, 2018.

[] L. De Gregorio, M. Callegari, C. Marin, M. Zebisch, L. Bruzzone, B. Demir, U. Strasser, D. Günther, T. Marke, M-J. Polo, M-J,Pérez-Palazón, C. Notarnicola, "Integration of a Hydroclimatological Model and Remote Sensing Products for Improving Snow Cover Mapping in Mountain Areas", Remote Sensing and Hydrology Symposium, Cordoba, Spain, 2018.

[] L. D. Gregorio, M. Callegari, C. Marin, M. Zebisch, L. Bruzzone, B. Demir, U. Strasser, D. Günther, C. Notarnicola, "Fusion of remote sensing and hydrological model data for improving snow mapping", International Conference on Snow Hydrology, Heidelberg, Germany, 2018.

[] B. Demir, "BIGEARTH-Accurate and Scalable Processing of Big Data In Earth Observation", Conference on Big Data from Space, Toulouse, France, 2017.

[] T. Reato, B. Demir, L. Bruzzone, "Semantic-Sensitive Hashing for Content-Based Retrieval in Remote Sensing Images", Conference on Big Data from Space, Toulouse, France, 2017.

[] T. Reato, B. Demir, L. Bruzzone, "Primitive Cluster Sensitive Hashing for Scalable Content-Based Image Retrieval in Remote Sensing Archives", International Geoscience and Remote Sensing Symposium, Texas, USA, 2017.

[] O. E. Dai, B. Demir, B. Sankur, L. Bruzzone, "A Novel System for Content Based Retrieval of Multi-Label Remote Sensing Images", International Geoscience and Remote Sensing Symposium, Texas, USA, 2017.

[] T. Reato, B. Demir, L. Bruzzone, "A Novel Class Sensitive Hashing Technique for Large-Scale Content-Based Remote Sensing Image Retrieval", SPIE Image and Signal Processing for Remote Sensing, Poland, 2017.

[] S. Niazmardi, B. Demir, L. Bruzzone, A. Safari and S. Homayouni "A Comparative Study On Multiple Kernel Learning for Remote Sensing Image Classification", International Geoscience and Remote Sensing Symposium, China, 2016.

[] R. Battiti, B. Demir, L. Bruzzone, " Quad-Tree Based Compressed Histogram Attribute Profiles For Classification of Very High Resolution Images", International Geoscience and Remote Sensing Symposium, China, 2016.

[] E. Riz, B. Demir, L. Bruzzone, " Domain Adaptation based on Deep Denoising Auto-Encoders for Classification of Remote Sensing Images", SPIE Image and Signal Processing for Remote Sensing, UK, 2016.

[] F.Omruuzun, B. Demir, L. Bruzzone, Y. Yardimci Cetin, " Content Based Hyperspectral Image Retrieval Using Bag Of Endmembers Image Descriptors", 8th Workshop on Hyperspectral Image and Signal Processing: Evolution in Remote Sensing (WHISPERS), US, 2016.

[] B. Demir, L. Bruzzone, " Fast and Accurate Image Classification with Histogram Based Features and Additive Kernel SVM ", International Geoscience and Remote Sensing Symposium, Milan, Italy, 2015.

[] B. Demir, L. Bruzzone, " Histogram Based Attribute Profiles for Classification of Very High Resolution Remote Sensing Images", International Geoscience and Remote Sensing Symposium, Milan, Italy, 2015.

[] F. Bovolo, B. Demir, L. Bruzzone, " A Cluster-Based Approach to Content Based Time Series Retrieval", International Geoscience and Remote Sensing Symposium, Milan, Italy, 2015.

[] R. Battiti, B. Demir, L. Bruzzone, " Compressed Histogram Attribute Profiles for the Classification of VHR Remote Sensing Images", SPIE Image and Signal Processing for Remote Sensing, France, 2015.

[] S. Paloscia, S. Pettinato, E. Santi, C. Notarnicola, F. Greifeneder, G. Cuozzo, I. Nicolini, B. Demir, L. Bruzzone, "Cosmo-SkyMed and RADARSAT2 image investigation for the monitoring of agricultural areas", in SAR Image Analysis, Modeling, and Techniques XV, Proceedings of SPIE, Toulouse, France, 2015.

[] S. Paloscia, S. Pettinato, E. Santi, C. Notarnicola, Felix Greifeneder, G. Cuozzo, I. Nicolini, B. Demir, L. Bruzzone, An analysis of the capabilities of cosmo-skymed and radarsat systems for agricultural area monitoring, IEEE International Geoscience and Remote Sensing Symposium, Milan, Italy, 2015.

[] B. Demir, L. Bruzzone, " Scalable Content Based Image Retrieval Based on A Hierarchical Hashing Approach ", Conference on Big Data from Space, Rome, Italy, 2014.

[] E. Riz, B. Demir, L. Bruzzone, " Speeded Up Content Based Remote Sensing Image Retrieval with Additive Kernel Support Vector Machines ", Conference on Big Data from Space, Rome, Italy, 2014.

[] D. Castelletti, B. Demir, L. Bruzzone, " A Semisupervised Support Vector Regression Method to Estimate Biophysical Parameters from Remotely Sensed Images", SPIE Image and Signal Processing for Remote Sensing, Amsterdam, The Netherlands, 2014.

[] B. Demir, L. Bruzzone, "Kernel-Based Hashing for Content-Based Image Retrieval in Large Remote Sensing Data Archives ", International Geoscience and Remote Sensing Symposium, Québec, Canada, 2014.

[] F. Bovolo, L. Bruzzone, B. Demir, "An Approach to Content-Based Time Series Retrieval for Detecting Changes in Large Remote Sensing Data Archives ", Image Information Mining Conference: The Sentinels Era, Bucharest, Romania, 2014.

[] L. Bruzzone, B. Demir, F. Bovolo, C.Brockmann, N. Fomferra, M. Iapaolo, R. Jha, J. Lu, R. Quast, K. Stelzer and L. Veci, "Analyzing and Retrieving Remote Sensing Images from Large Data Archives", Image Information Mining Conference: The Sentinels Era, Bucharest, Romania, 2014.

[] B. Demir, F. Bovolo, L. Bruzzone, "Sequential Cascade Classification of Image Time Series by Exploiting Multiple Pairwise Change Detection ", International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 2013.

[] B. Demir, L. Bruzzone, "An Effective Active Learning Method for Interactive Content-Based Retrieval in Remote Sensing Images", International Geoscience and Remote Sensing Symposium, Melbourne, Australia, 2013.

[] B. Demir, L. Bruzzone, "A Novel Active Learning Method for Support Vector Regression to Estimate Biophysical Parameters from Remotely Sensed Images, SPIE Image and Signal Processing for Remote Sensing,2012.

[] B. Demir, L. Minello, L. Bruzzone, "A Genetic Algorithm Based Cost-Sensitive Active Learning Technique for Classification of Remote Sensing Images ", Tyrrhenian Workshop 2012 on Advances in Radar and Remote Sensing, Napoli, Italy, 2012.

[] B. Demir, L. Minello, L. Bruzzone, "A Cost-Sensitive Active Learning Technique for the Definition of Effective Training Sets for Supervised Classifiers", International Geoscience and Remote Sensing Symposium,2012.

[] B. Demir, F. Bovolo, L. Bruzzone, "A Novel System for Classification of Image Time Series with Limited Ground Reference Data", International Geoscience and Remote Sensing Symposium,2012.

[] B. Demir, F. Bovolo, L. Bruzzone, "Detection of land-cover transitions in multitemporal images with active-learning based compound classification", International Geoscience and Remote Sensing Symposium, Vancouver, Canada, July 2011.

[] B. Demir, F. Bovolo, L. Bruzzone, "Active-learning based cascade classification of multitemporal images for updating land-cover maps", 6th International Workshop on the Analysis of Multi-Temporal Remote Sensing Images, Trento, Italy, July 2011.

[] B. Demir, F. Bovolo, L. Bruzzone, "An active transfer learning technique driven by change detection for classification of temporal series of images", SPIE Image and Signal Processing for Remote Sensing, Prague Czech Republic, Sept. 2011.

[] B. Demir, S. Ertürk, "Empirical mode decomposition based decision fusion for higher hyperspectral image classifıcation accuracy", International Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, USA, July 2010.

[] B. Demir, S. Ertürk, "Improving SVM Classification Accuracy Using a Hierarchical Approach for Hyperspectral Images", IEEE International Conference on Image Processing, Nov 2009, Cairo, Egypt.

[] B. Demir, S. Ertürk, O. Urhan, "Improved Quality Multiple Description 3D Mesh Coding with Optimal Filtering", IEEE International Conference on Image Processing, Nov 2009, Cairo, Egypt.

[] B. Demir, S. Ertürk, "Accurate SVM Classification Using Border Training Patterns", First Workshop on Hyperspectral Image and Signal Processing: Evolution on Remote Sensing, August 2009, Grenoble, France.

[] B. Demir, S. Ertürk, "An Empirical Mode Decomposition and Composite Kernel Approach to Increase Hyperspectral Image Classification Accuracy", International Geoscience and Remote Sensing Symposium, Cape Town, South Africa, July 2009.

[] B. Demir, S. Ertürk, M. K. Güllü, "Wavelet Shrinkage Denoising of Intrinsic Mode Functions of Hyperspectral Image Bands for Classification with High Accuracy", International Conference on Geosience and Remote Sensing Symposium, Cape Town, South Africa, July 2009.

[] B. Demir, S. Ertürk, "Increasing Hyperspectral Image Classification Accuracy for Data Sets with Limited Training Samples by Sample Interpolation", 4th International Conference on Recent Advances in Space Technologies (RAST2008), June 2009.

[] B. Demir, S. Ertürk, "Spectral Magnitude and Spectral Derivative Feature Fusion for Improved Classification of Hyperspectral Images ", International Conference on Geosience and Remote Sensing Symposium, Boston, Massachusetts, U.S.A, July 2008.

[] B. Demir, S. Ertürk, "Reducing the Computational Load of Hyperspectral Band Selection using the One-Bit Transform of Hyperspectral Bands ", International Conference on Geosience and Remote Sensing Symposium, Boston, Massachusetts, U.S.A, July 2008.

[] B. Demir, S. Ertürk, "Empirical Mode Decomposition Pre-Process for Higher Accuracy Hyperspectral Image Classification ", International Conference on Geosience and Remote Sensing Symposium, Boston, Massachusetts, U.S.A, July 2008.

[] B. Demir, S. Ertürk, "Improved Hyperspectral Image Classification with Noise Reduction Pre-Process", European Signal Processing Conference (EUSIPCO-2008),Lausanne, Switzerland, Aug 2008.

[] Ç. Ateş, Y. Ürgün, B. Demir, O. Urhan, S. Ertürk, "Polyphase Downsampling Based Multiple Description Image Coding using Optimal Filtering with Flexible Redundancy Insertion", IEEE International Conference on Signals and Electronic Systems, pp. 193-196, Sept 2008.

[] B. Demir, S. Ertürk, "Achieving More Sparsity in Hyperspectral SVM Classification Using Unsupervised Pre-segmentation in the Training Phase", 3rd International Conference on Recent Advances in Space Technologies (RAST 2007), 14-16 June 2007, Istanbul, TURKEY, June 2007.

[] B. Demir, S. Ertürk, "Hyperspectral Data Classification Using RVM with Pre-Segmentation and RANSAC", International Conference on Geosience and Remote Sensing Symposium, 23-27 July 2007, Barcelona, Spain, Temmuz 2007.

[] B. Demir, S. Ertürk, "Phase Correlation Based Supervised Classification of Hyperspectral Images Using Multiple Class Representatives ", International Conference on Geosience and Remote Sensing Symposium, 23-27 July 2007, Barcelona, Spain, July 2007.

[] B. Demir, S. Ertürk, "Block Motion Estimation using Modified Two-Bit Transform", Lecture Notes in Computer Science (LNCS), Springer-Verlag, Vol.4263, pp. 522-531, Nov 2006.

[] F. Omruuzun, B. Demir, L. Bruzzone, Y. Yardimci Cetin, "A Novel Content Based Hyperspectral Image Retrieval System Based on Bag of End Members", IEEE 24th Signal Processing and Communications Applications Conference (SIU’2016), May 2016.

[] B. Demir, L. Bruzzone, "A Novel Active Learning Method for Content Based Remote Sensing Image Retrieval", IEEE 23rd Signal Processing and Communications Applications Conference (SIU’2015), April 2015.

[] B. Demir, L. Bruzzone, "Biophysical parameters estimation from remotely sensed images by a multiple criteria active learning method", IEEE 22nd Signal Processing and Communications Applications Conference (SIU’2014), April 2014.

[] B. Demir, F. Bovolo, L. Bruzzone, "Detection of land-cover transitions in multitemporal ımages with a joint entropy based active-learning method", IEEE 19th Signal Processing and Communications Applications Conference (SIU’2011), April 2011.

[] B. Demir, S. Ertürk, "Empirical mode decomposition based decision fusion for hyperspectral image classification", IEEE 18th Signal Processing and Communications Applications Conference (SIU’2010), April 2010.

[] B. Demir, S. Ertürk, "High Accuracy Hyperspectral Image Classification Based on Empirical Mode Decomposition and Composite Kernel", IEEE 17th Signal Processing and Communications Applications Conference (SIU’2009), April 2009.

[] B. Demir, S. Ertürk, "Hiperspektral Görüntülemenin Savunma Teknolojileri Uygulamaları ve Spektral Eğriltme Sayesinde Yüksek Tanıma Başarımı", 4th National Defense Technologies Conference (SAVTEK 2008), June 2008.

[] A.T. Çelebi, B. Demir, M.K. Güllü, S. Ertürk, "Facial Feature Matched One-bit Transform for Face Recognition", IEEE 16th Signal Processing and Communications Applications Conference (SIU’2008), April 2008.

[] B. Demir, S. Ertürk, "Hyperspectral Image Classification Based on Empirical Mode Decomposition", IEEE 16th Signal Processing and Communications Applications Conference (SIU’2008), April 2008.

[] Z. Kızıltoprak, B. Demir, B. Diri, "Ön-İşlem Kullanılarak Hiperspektral Görüntülerde İlgililik Vektör Makineleri ile Sınıflandırma Başarımının Arttırılması", IEEE 16th Signal Processing and Communications Applications Conference (SIU’2008), April 2008.

[] B. Demir, S. Ertürk, "Wavelet Denoising Before Support Vector Classification of Hyperspectral Images ", IEEE 15th Signal Processing and Communications Applications Conference (SIU’2007), June 2007.

[] Y. Yapıcı, B. Demir, S. Ertürk, O. Urhan, "Downsampling Based Multiple Description Coding with Optimal Reconstruction Filters", IEEE 15th Signal Processing and Communications Applications Conference (SIU’2007), June 2007.

[] B. Demir, S. Ertürk, "Sparsity/accuracy trade-off for vector machine based hyperspectral classification", IEEE 15th Signal Processing and Communications Applications Conference (SIU’2007), June 2007.

[] İ. Yıldırım, B. Demir, S. Ertürk, "3-Dimensional Modeling and Visualization of Cultural Assets for E-Government", IEEE Signal Processing and Communications Applications Conference (SIU’2006), April 2006.

[] B. Demir, S. Ertürk, "Flexible Multiple Description 3-D Model Coding Using Wavelet Subdivision Surfaces", IEEE Signal Processing and Communications Applications Conference (SIU’2006), April 2006.