Hyperspectral Salient Object Detection Using Extended Morphology with CNN. - Koushikey Chhapariya; Krishna Mohan Buddhiraju; Anil Kumar (IGARSS, 2022)

Spectral-Spatial Classification Of Hyperspectral Images With Multi-Level Cnn. - Koushikey Chhapariya; Krishna Mohan Buddhiraju; Anil Kumar (WHISPERS, 2022)

CNN-Based Salient Object Detection on Hyperspectral Images Using Extended Morphology. - Koushikey Chhapariya; Krishna Mohan Buddhiraju; Anil Kumar (IEEE Geosci. Remote. Sens. Lett., 2022)

A Shuffled Dilated Convolutional Neural Network for Hyperspectral Image using Transfer Learning. - Koushikey Chhapariya; Krishna Mohan Buddhiraju; Anil Kumar (IGARSS, 2023)

A Spectral-Spatial Classification Network for Hyperspectral Images using a Residual Attention Network. - Koushikey Chhapariya; Emmett J. Ientilucci; Krishna Mohan Buddhiraju; Anil Kumar (WHISPERS, 2023)

A Deep Learning-Based Multitasking Model for Hyperspectral Image Analysis using Novel TAIGA Dataset. - Koushikey Chhapariya; Alexandre Benoit; Krishna Mohan Buddhiraju; Anil Kumar (IGARSS, 2024)

Joint Multitask Learning for Image Segmentation and Salient Object Detection in Hyperspectral Imagery. - Koushikey Chhapariya; Emmett J. Ientilucci; Alexandre Benoit; Krishna Mohan Buddhiraju; Anil Kumar (WHISPERS, 2024)

Target Detection and Characterization of Multi-Platform Remote Sensing Data. - Koushikey Chhapariya; Emmett J. Ientilucci; Krishna Mohan Buddhiraju; Anil Kumar (Remote. Sens., 2024)

A Deep Spectral-Spatial Residual Attention Network for Hyperspectral Image Classification. - Koushikey Chhapariya; Krishna Mohan Buddhiraju; Anil Kumar (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2024)

A Multitask Deep Learning Model for Classification and Regression of Hyperspectral Images: Application to a Large-Scale Dataset. - Koushikey Chhapariya; Alexandre Benoit; Krishna Mohan Buddhiraju; Anil Kumar (IEEE Trans. Geosci. Remote. Sens., 2025)