IEEE InGARSS 2021
General
About Us
Call for Papers
Organizing Committee
Privacy and Non-Discrimination
Registration
Program
Technical Program
Young Professionals
Women in Engineering
Industry
Tutorials
For Authors
Important Dates
Paper Submission
Paper Kit
Student Paper Competition
Sponsors
Call For Sponsors
Sponsors
About Ahmedabad
Contact Us
I
n
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 TH2.H2
Paper TH2.H2.4
TH2.H2.4
UNSUPERVISED CHANGE DETECTION IN VERY HIGH RESOLUTION MULTI-SPECTRAL IMAGES
Avinash Chouhan, North Eastern Space Applications Centre, India; Aryan Agrawal, Arijit Sur, Indian Institute of Technology Guwahati, India
Session:
AI in RS & GIS + Big Data-1
Track:
Artificial Intelligence in Remote Sensing and GIS
Location:
Hall 2
Presentation Time:
Thu, 9 Dec, 14:04 - 14:16 Indian Standard Time (UTC +5:30)
Thu, 9 Dec, 08:34 - 08:46 (UTC)
Thu, 9 Dec, 09:34 - 09:46 Central Europe Summer Time (UTC +2)
Thu, 9 Dec, 00:34 - 00:46 Pacific Daylight Time (UTC -7)
Session Chair:
Prof. Anil Roy, DAIICT, Gandhinagar
Session Manager:
Nayan Kumar Subhashis Behera
Presentation
Resources
Session TH2.H2
TH2.H2.1: Lead Talk
Mihai Datcu, DLR, Germany,
TH2.H2.2: NEURAL NETWORK BASED RETRIEVAL OF INHERENT OPTICAL PROPERTIES (IOPs) OF COASTAL WATERS OF OCEANS
Vyom Pathak, Brijesh Bhatt, Dharmsinh Desai University, India; Arvind Sahay, Mini Raman, Indian Space Research Organization, India
TH2.H2.3: AUTOMATIC CLUSTERING OF HYPERSPECTRAL IMAGES USING QUTRIT EXPONENTIAL DECOMPOSITION PARTICLE SWARM OPTIMIZATION
Siddhartha Bhattacharyya, Rajnagar Mahavidyalaya, Birbhum, India; Tulika Dutta, Somnath Mukhopadhyay, Assam University, India
TH2.H2.4: UNSUPERVISED CHANGE DETECTION IN VERY HIGH RESOLUTION MULTI-SPECTRAL IMAGES
Avinash Chouhan, North Eastern Space Applications Centre, India; Aryan Agrawal, Arijit Sur, Indian Institute of Technology Guwahati, India
TH2.H2.5: TROPICAL CYCLONE INTENSITY PREDICTION USING BEST TRACK DATA OVER NORTH INDIAN OCEAN BY MACHINE LEARNING CLASSIFIERS
Chinmoy Kar, Sikkim Manipal Institute of Technology, India; Sreeparna Banerjee, Maulana Abul Kalam Azad University of Technology, India
