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…
Improving Power Plant CO2 Emission Estimation with Deep Learning and Satellite/Simulated Data
Dibyabha Deb, Kamal Das
CO2 emissions from power plants, as significant super emitters, contribute substantially to global warming. Accurate quantification of these emissions is crucial for effective clim…
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…