Publications

Arixv Pre-prints:

  • B.B, Damodaran, "Fast Optimal Bandwidth Selection for RBF Kernel using Reproducing Kernel Hilbert Space Operators for Kernel Based Classifiers", [paper link]
  • C, Jayaprakash, B.B, Damodaran, Sowmya V, K P Soman, "Randomized ICA and LDA Dimensionality Reduction Methods for Hyperspectral Image Classification", [paper link]


  • B.B, Damodaran, B. Kellenberger, R. Flamary, D. Tuia, N. Courty, "DeepJDOT: Deep Joint distribution optimal transport for unsupervised domain adaptation", European Conference on Computer Vision (ECCV) 2018. [codes]
  • V. Seguy, B. B. Damodaran, R. Flamary, N. Courty, A. Rolet, M. Blondel , "Large-Scale Optimal Transport and Mapping Estimation", Proceedings of the International Conference on Learning Representations (ICLR) 2018 .
  • L. Faucqueur, F. Merciol, B.B, Damodaran, "Scalable extraction of small woody features (swf) at the pan-european scale using open source solutions", ESA EO Open Science, Italy, 2017
  • B. B, Damodaran, N. Courty, and S. Lefevre, "Sparse Hilbert Schmidt Independence Criteria based Feature Selection Approach for Hyperspectral Image Classification", IEEE Transaction in Geoscience and Remote Sensing, vol.55, pp. 2385-2398, 2017
  • B. B, Damodaran, J. Hole, and S. Lefevre, "Attribute Profiles on Derived Features for Urban Land Cover Classification", Photogrammetric Engineering & Remote Sensing, vol. 83, pp. 183-193, 2017
  • B. B. Damodaran, N. Courty, R. Tavenard, " Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images", IEEE International Geoscience and Remote Sensing Symposium 2017(IGARSS 2017), Fort Worth, 2017.
  • S. G. Koç, E. Aptoula, P. Bosilj, B. B. Damodaran, M. D. Mura, S. Lefevre, " A comparative noise robustness study of tree representations for attribute profile construction", 25th Signal Processing and Communications Applications Conference (SIU), 2017.
  • P. Bosilj, B. B. Damodaran, E. Aptoula, M. D. Mura, S. Lefèvre, "Attribute profiles from partitioning trees", International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing , France, 2017.
  • B. B. Damodaran, N. Courty, R. Tavenard, " Randomized nonlinear component analysis for dimensionality reduction of hyperspectral images", IEEE International Geoscience and Remote Sensing Symposium 2017(IGARSS 2017), Fort Worth, 2017.
  • K.A, Prasad, B. B, Damodaran, L. Gnanappazham, V. Selvam, R. R Nidamanuri, and R. Ramasubramanian, "Multiple classification system for classification of mangroves at species level using multispectral image data, ECSA 56 - Coastal Systems in Transition, Germany, 2016.
  • B. B, Damodaran, N. Courty, and S. Lefevre, "Unsupervised Classifier Selection Approach for Hyperspectral Image Classification", IEEE International Geoscience and Remote Sensing Symposium 2016 (IGARSS 2016), July 10-15, Bejing, China.
  • B. B, Damodaran, R. R. Nidamanuri, and Y.Tarabalka, “Dynamic Ensemble Selection Approach for Hyperspectral Image Classification with Joint Spectral and Spatial Information”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 8, pp. 2405-2417, 2015
  • B. B, Damodaran and R. R. Nidamanuri, “Multiple classifiers and graph cut method for spectral and spatial classification of hyperspectral image”, ISPRS TC VIII Mid-Term Symposium, Dec 9-12, 2014, Hyderabad, India.
  • B. B. Damodaran and R. R. Nidamanuri,“Dynamic Linear Classifier System for Hyperspectral Image Classification for Land Cover Mapping”, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, vol. 7, pp. 2080-2093, 2014
  • B. B. Damodaran and R. R. Nidamanuri, “Assessment of the impact of dimensionality reduction methods on information classes and classifiers for hyperspectral image classification by multiple classifier system”, Advances in Space Research, vol. 53, pp. 1720-1734, 2014
  • Bhushan, D.B. and Nidamanuri, R. R. “Dynamic classifier system for hyperspectral image classification”, IEEE Geosciene and Remote Sensing Symposium 2013, July 21-26, Melbourne (Received travel grant award of $1500 to present the paper).
  • Bhushan, D. B.and Nidamanuri, R.R. “Assessment of relationship between information classes, classifiers and dimensionality reduction methods for hyperspectral image classification by multiple classifier system”, National Symposium on Space Technology for Food and Environmental Security and Annual Convention of Indian Society of Remote Sensing, Dec. 5-7, 2012, New Delhi.
  • Bhushan, D. B.and Nidamanuri, R.R. “Impact of feature reduction methods on target detection methods for hyperspectral image classification by multiple classifier system”, 39th COSPAR Scientific Assembly, July 14-22, 2012, Mysore.
  • Bhushan, D. B. and Nidamanuri, R.R.“Multiple classifier systems for hyperspectral image classification”, National Symposium on Empowering Rural India through Space Technology and Annual Convention of Indian Society of Remote Sensing, Nov. 8 -11, 2011, Bhopal (Received best poster presentation award).
  • Bhushan, D. B.,Sowmya, Soman, K. P, Manikandan, M. S, “An effective pre-processing algorithm for detecting noisy spectral bands in hyperspectral imagery”, International Symposium on Ocean Electronics (SYMPOL), Nov. 16-18, 2011, Kochi.
  • Bhushan, D. B., Sowmya, Soman, K.P, “Super resolution blind reconstruction of low resolution images using framelets based fusion”, International Conference on Recent Trends in Information, Telecommunication and Computing (ITC), Mar. 12-13, 2010, Kochi.
  • Bhushan, D. B, Soman, K. P, “Polyphase Matrix Factorization-A Simplified Explanation”, International Conference on Advances in Recent Technologies in Communication and Computing, Oct. 27-28, 2009, Kottayam.


Thesis:

  • Multiple Classifiers and Dimensionality Reduction Methods for Hyperspectral Image Classification, PhD Thesis, Supervised by Dr. Rama Rao Nidamanuri
  • Band Subset Selection for Hyperspectral Image Analysis, Supervised by Dr. K.P. Soman, and S.M. Manikandan