4 papers
Multicollinearity-Aware Parameter-Free Strategy for Hyperspectral Band Selection: A Dependence Measures-Based Approach
Dibyabha Deb, Ujjwal Verma
Hyperspectral bands offer rich spectral and spatial information; however, their high dimensionality poses challenges for efficient processing. Band selection (BS) methods aim to ex…
Leveraging Self-Supervised Features for Efficient Flooded Region Identification in UAV Aerial Images
Dibyabha Deb, Ujjwal Verma
Identifying regions affected by disasters is a vital step in effectively managing and planning relief and rescue efforts. Unlike the traditional approaches of manually assessing po…
Adversarial Robustness of Deep Learning Models for Inland Water Body Segmentation from SAR Images
Siddharth Kothari, Srinivasan Murali, Sankalp Kothari +2
Inland water body segmentation from Synthetic Aperture Radar (SAR) images is an important task needed for several applications, such as flood mapping. While SAR sensors capture dat…
Correlation-Based Band Selection for Hyperspectral Image Classification
Dibyabha Deb, Ujjwal Verma
Hyperspectral images offer extensive spectral information about ground objects across multiple spectral bands. However, the large volume of data can pose challenges during processi…