IEEE InGARSS 2021
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I
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GARSS 2021
IEEE India Geoscience and Remote Sensing Symposium 2021
6 - 10 December, 2021 • Virtual Conference
Announcements: Technical Program released | Paper Submission Closed
IEEE India Geoscience and Remote Sensing Symposium 2021
6 - 10 December, 2021 • Virtual Conference
Technical Program
Session TU5.H1
Paper TU5.H1.6
TU5.H1.6
GABOR AND PCA FEATURE-BASED UNSUPERVISED CHANGE DETECTION IN SAR IMAGES
V.V.N Sujit, National Institute of Technology, Rourkela, India; Umesh C Pati, National Institute of Technology, India
Session:
Land, Forest & Environment-2
Track:
Forest and Environment
Location:
Hall 1
Presentation Time:
Tue, 7 Dec, 15:58 - 16:10 Indian Standard Time (UTC +5:30)
Tue, 7 Dec, 10:28 - 10:40 (UTC)
Tue, 7 Dec, 11:28 - 11:40 Central Europe Summer Time (UTC +2)
Tue, 7 Dec, 02:28 - 02:40 Pacific Daylight Time (UTC -7)
Session Chair:
Dr. I. M. Bahuguna, SAC, Ahmedabad
Session Managers:
Ashish Upadhyay and Tanmay Kumar Behera
Presentation
Resources
Session TU5.H1
TU5.H1.1: A MODIFIED NEURAL NETWORK FOR LAND USE LAND COVER MAPPING OF LANDSAT-8 OLI DATA
Vikash Kumar Mishra, Indian Institute of Information Technology ,Allahabad, India; Dinesh Swarnkar, Indian Institute of Information technology Allahabad, India; Triloki Pant, Indian Institute of Information Technology Allahabad, India
TU5.H1.2: GENERATION OF DETAILED CLASSIFICATION MAPS USING HIGH-RESOLUTION SATELLITE IMAGES AT COUNTRY-WIDE SCALE
Prajowal Manandhar, UAE University, United Arab Emirates; Ahmad Jalil, Sultan Zehi, Sanad Fareaa, NSSTC, United Arab Emirates; Prashanth Marpu, Group 42, United Arab Emirates
TU5.H1.3: Sponsors' Presentation - NRSC/ISRO
TU5.H1.4: MAPPING GLOBALLY USING MULTITEMPORAL SENTINEL-1 SAR: A SEMIAUTOMATIC APPROACH
David Marzi, Paolo Gamba, University of Pavia, Italy; Shantanu Todmal, Indian Institute of Information Technology, India
TU5.H1.5: A PRELIMINARY STUDY AND ANALYSIS ON EXTRACTION OF URBAN AREA DENSITY USING POLSAR IMAGES
Amit Kumar, Rajib Panigrahi, Indian Institute of Technology Roorkee, India
TU5.H1.6: GABOR AND PCA FEATURE-BASED UNSUPERVISED CHANGE DETECTION IN SAR IMAGES
V.V.N Sujit, National Institute of Technology, Rourkela, India; Umesh C Pati, National Institute of Technology, India
