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Avinash Chouhan
Avinash Chouhan
Other namesAvinash Kumar Chouhan
Scientist/Engineer-SE, North Eastern Space Applications Centre
Verified email at nesac.gov.in
Title
Cited by
Cited by
Year
Validation of a mobile health technology platform (FeverTracker) for malaria surveillance in India: development and usability study
IP Bhowmick, D Chutia, A Chouhan, N Nishant, PLN Raju, K Narain, ...
JMIR Formative Research 5 (11), e28951, 2021
172021
Flood detection using multispectral images and SAR data
T Bhadra, A Chouhan, D Chutia, A Bhowmick, PLN Raju
International Conference on Machine Learning, Image Processing, Network …, 2020
112020
DRMNet: Difference image reconstruction enhanced multiresolution network for optical change detection
A Chouhan, A Sur, D Chutia
IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2022
72022
Towards generation of effective 3D surface models from UAV imagery using open source tools
PS Singh, M Sharma, V Saikhom, D Chutia, C Gupta, A Chouhan, ...
Current Science, 314-321, 2018
52018
Investigation on the covid-19 outbreak in India: lockdown impact and vulnerability analysis
N Nishant, A Chouhan, D Chutia, PS Singh, S Ojah, S Roy, PLN Raju
Journal of Geographic Information System 12 (4), 334-347, 2020
42020
Mapping of crime incidences and hotspot analysis through incremental auto correlation–A case study of Shillong city, Meghalaya, India
D Chutia, M Santra, N Nishant, PS Singh, A Chouhan, PLN Raju
Journal of Geomatics 14 (1), 61-71, 2020
42020
Design and Integration of a Lightweight Multirotor Unmanned Aerial Vehicle for Remote Sensing Applications
C Gupta, D Chutia, M Kithan, AO Kesiezie, V Saikhom, PS Singh, ...
42015
Attentive decoder network for flood analysis using sentinel 1 images
A Chouhan, D Chutia, SP Aggarwal
2023 International Conference on Communication, Circuits, and Systems (IC3S), 2023
32023
An object detection approach to automatic crater detection from CTX imagery
V Chaudhary, D Mane, R Anilkumar, A Chouhan, D Chutia, P Raju
EPSC2020, 2020
22020
Aggregated Context Network For Semantic Segmentation Of Aerial Images
A Chouhan, A Sur, D Chutia
2022 IEEE International Conference on Image Processing (ICIP), 1526-1530, 2022
12022
Unsupervised Change Detection in Very High Resolution Multi-Spectral Images
A Chouhan, A Agrawal, A Sur
2021 IEEE International India Geoscience and Remote Sensing Symposium …, 2022
12022
Comparison of tree canopy extraction using Object Based Image Analysis and Deep Learning Technique in UAV images
A Chouhan, S Shivaraj, D Chutia, PLN Raju
2019 International Conference on Intelligent Computing and Remote Sensing …, 2019
12019
Applications of unmanned aerial vehicle (UAV) based remote sensing in North Eastern Region of India
C Gupta, BK Handique, D Chutia, V Saikhom, PS Singh, A Chouhan, ...
ISG Newsl 23, 2018
12018
HybridNet: Integrating Multiple Approaches for Aerial Semantic Segmentation
A Chouhan, A Sur, D Chutia, SP Aggarwal
SN Computer Science 5 (1), 133, 2023
2023
MCDNet: Multi Context Dense Network for multi-frame super resolution of satellite images
A Chouhan, H Motwani, A Sur, D Chutia, SP Aggarwal
Proceedings of the Fourteenth Indian Conference on Computer Vision, Graphics …, 2023
2023
Deep Learning Approach for Multi-class Semantic Segmentation of UAV Images
A Chouhan, D Chutia, SP Aggarwal
International Journal on Artificial Intelligence Tools, 2023
2023
EDCGAN: Encoder Decoder based Conditional GAN for SAR to Optical image translation
A Chouhan, N Jindel, A Sur, D Chutia, SP Aggarwal
2022 Thirteenth Indian Conference on Computer Vision, Graphics and Image …, 2022
2022
Deep Learning Applications on Very High-Resolution Aerial Imagery
A Chouhan, D Chutia, PLN Raju
Artificial Intelligence, 61-80, 2021
2021
Image Processing Using Artificial Intelligence: Case Study on Classification of High-Dimensional Remotely Sensed Images
D Chutia, A Chouhan, N Nishant, PS Singh, DK Bhattacharyya, PLN Raju
Artificial Intelligence, 39-49, 2021
2021
TREE CROWN EXTRACTION FROM AERIAL IMAGERY USING DEEP LEARNING
M Kalita, A Chouhan
Advances in Plant Science, 13, 0
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