3 papers
cs.CV2026
Dynamic Class-Aware Active Learning for Unbiased Satellite Image Segmentation
Gadi Hemanth Kumar, Athira Nambiar, Pankaj Bodani
Semantic segmentation of satellite imagery plays a vital role in land cover mapping and environmental monitoring. However, annotating large-scale, high-resolution satellite dataset…
cs.CV2025
Post Processing of image segmentation using Conditional Random Fields
Aashish Dhawan, Pankaj Bodani, Vishal Garg
The output of image the segmentation process is usually not very clear due to low quality features of Satellite images. The purpose of this study is to find a suitable Conditional…
cs.CV2018
OrthoSeg: A Deep Multimodal Convolutional Neural Network for Semantic Segmentation of Orthoimagery
Pankaj Bodani, Kumar Shreshtha, Shashikant Sharma
This paper addresses the task of semantic segmentation of orthoimagery using multimodal data e.g. optical RGB, infrared and digital surface model. We propose a deep convolutional n…