8 citations · 9 across the 4 of their papers we have counts for
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A Novel Multi-scale Attention Feature Extraction Block for Aerial Remote Sensing Image Classification
Chiranjibi Sitaula, Jagannath Aryal, Avik Bhattacharya
Classification of very high-resolution (VHR) aerial remote sensing (RS) images is a well-established research area in the remote sensing community as it provides valuable spatial i…
OSTA: One-shot Task-adaptive Channel Selection for Semantic Segmentation of Multichannel Images
Yuanzhi Cai, Jagannath Aryal, Yuan Fang +2
Semantic segmentation of multichannel images is a fundamental task for many applications. Selecting an appropriate channel combination from the original multichannel image can impr…
Enhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification
Chiranjibi Sitaula, Sumesh KC, Jagannath Aryal
Very high-resolution (VHR) remote sensing (RS) scene classification is a challenging task due to the higher inter-class similarity and intra-class variability problems. Recently, t…
Dual skip connections in U-Net, ResUnet and U-Net3+ for remote extraction of buildings
Bipul Neupane, Jagannath Aryal, Abbas Rajabifard
Urban buildings are extracted from high-resolution Earth observation (EO) images using semantic segmentation networks like U-Net and its successors. Each re-iteration aims to impro…