Papers
International Journals (SCI, SCI-EXP)
[1] 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, accepted for publication.
[2] B. Demir, S. Ertürk “Decision fusion of empirical mode decomposition based hyperspectral image classification results“, IEEE Geoscience and Remote Sensing Letters, under review.
[3] B. Demir, S. Ertürk “Empirical mode decomposition of hyperspectral images for support vector machine classification“, IEEE Transactions on Geoscience and Remote Sensing, accepted for publication.
[4] B. Demir, S. Ertürk, M. K. Güllü “Hyperspectral image classification using denoising of intrinsic mode functions“, IEEE Geoscience and Remote Sensing Letters, accepted for publication
[5] 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
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] B. Demir, S. Ertürk, “Block Motion Estimation Using Adaptive Modified Two-Bit Transform”, IET Image Processing, Vol.1, No.2, pp.215-222, 2007.
International Conferences
[1] B. Demir, S. Ertürk, “Empirical mode decomposition based decision fusion for higher hyperspectral image classifıcation accuracy”, International Conference on Geoscience and Remote Sensing Symposium, Honolulu, Hawaii, USA, July 2010, Accepted for publication.
[2] 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.
[3] 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.
[4] 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.
[5] B. Demir, S. Ertürk, ”An Empirical Mode Decomposition and Composite Kernel Approach to Increase Hyperspectral Image Classification Accuracy”, International Conference on Geosience and Remote Sensing Symposium, Cape Town, South Africa, July 2009.
[6] 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.
[7] 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.
[8] 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.
[9] 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.
[10] 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.
[11] B. Demir, S. Ertürk, ”Improved Hyperspectral Image Classification with Noise Reduction Pre-Process”, European Signal Processing Conference (EUSIPCO-2008),Lausanne, Switzerland, Aug 2008.
[12] 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.
[13] 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.
[14] 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.
[15] 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.
[16] 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.
National Conferences
[1] 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
[2] 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, Presented.
[3] 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, Presented.
[4] B. Demir, S. Ertürk, “Hyperspectral Image Classification Based on Empirical Mode Decomposition”, IEEE 16th Signal Processing and Communications Applications Conference (SIU’2008), April 2008, Presented.
[5] 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, Presented.
[6] 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, Presented.
[7] 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. Presented.
[8] 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. Presented.
[9] 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. Presented.
[10] B. Demir, S. Ertürk, “Flexible Multiple Description 3-D Model Coding UsingWavelet Subdivision Surfaces”, IEEE Signal Processing and Communications Applications Conference (SIU’2006), April 2006.