activity
20222026
most citedEnhanced Multi-level Features for Very High Resolution Remote Sensing Scene Classification

34 citations · 43 across the 6 of their papers we have counts for

collaborators

6 papers

cs.AI2026

Neuro-Geospatial Modelling of EEG Affective States Using Literature-Informed Environmental Context

Utsav Poudel, Jagannath Aryal, Subramaniyaswamy Vairavasundaram

Environmental exposures such as air pollution and greenness have been associated with affective and cognitive outcomes, but EEG and environmental datasets are rarely jointly georef…

cs.CV2023★ 8 cited

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…

cs.CV2023★ 1 cited

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…

cs.CV2023★ 34 cited

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…

cs.CV2023

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…

cs.DC2022

Container Orchestration in Edge and Fog Computing Environments for Real-Time IoT Applications

Zhiyu Wang, Mohammad Goudarzi, Jagannath Aryal +1

Resource management is the principal factor to fully utilize the potential of Edge/Fog computing to execute real-time and critical IoT applications. Although some resource manageme…