InGARSS 2020

IEEE International India Geoscience and Remote Sensing Symposium 2020

"Remote Sensing coming of the age in Global Community"

Tutorials: 1 December, 2020 • Conference: 2-4 December, 2020

Ahmedabad, Gujarat, India

Announcements: YP details updated • Inaugural Schedule is Announced • Registration is free for GRSS members • Video upload available for authors • Industry details announced • WIE details announced • Tutorials announced • Presentation Guidelines updated for Authors

IEEE International India Geoscience and Remote Sensing Symposium 2020

Tutorials: 1 December, 2020 • Conference: 2-4 December, 2020

Ahmedabad, Gujarat, India

Announcements: YP details updated • Inaugural Schedule is Announced • Registration is free for GRSS members • Video upload available for authors • Industry details announced • WIE details announced • Tutorials announced • Presentation Guidelines updated for Authors

CoVID-19 Update

FR1.R2.9

A 3D-DEEP CNN BASED FEATURE EXTRACTION AND HYPERSPECTRAL IMAGE CLASSIFICATION

MURALI KANTHI, JNTUCEA, JNTUA, Anantapur, India; T Hitendra Sarma, Srinivasa Ramanujan Institute of Technology, India; C Shoba Bindu, JNTUCEA, JNTUA, Anantapur, India
Session:
Hyperspectral Remote Sensing
Track:
Hyperspectral Remote Sensing
Session Time:
Fri, 4 Dec, 09:30-12:30 Indian Standard Time (UTC +5:30)
Fri, 4 Dec, 04:00-07:00 (UTC)
Fri, 4 Dec, 05:00-08:00 Central Europe Summer Time (UTC +2)
Thu, 3 Dec, 20:00-23:00 Pacific Daylight Time (UTC -7)
Session Co-Chairs:
N Ramarao, IIST, Trivendum and Sandhya Kiran, MS University of Baroda, Vadodara
Session Managers:
Indrani Choudhury Singh and Narayanarao Bhogapurapu

Presentation

Resources

Session

FR1.R2.1: Lead Talk: Thirty years of Discovery with Imaging Spectroscopy and Prospects for the Future
Dr. Robert Green, JPL-NASA
FR1.R2.2: INDEX BASED EXTRACTION OF IMPERVIOUS SURFACES USING RGB AND NIR BAND COMBINATIONS IN AVIRIS-NG HYPERSPECTRAL IMAGERY
DWIJENDRA PANDEY, KAILASH CHANDRA TIWARI, DELHI TECHNOLOGICAL UNIVERSITY, DELHI, India
FR1.R2.3: HYPERSPECTRAL IMAGE CLASSIFICATION USING SEMI-SUPERVISED LEARNING WITH LABEL PROPAGATION
Usha Patel, Hardik Dave, Nirma University, India; Vibha Patel, Vishwakarma Government Engineering College, GTU, India
FR1.R2.4: Ensemble of Winter's belief based frameworks for Hyperspectral Endmember Extraction
Dharambhai Shah, Tanish Zaveri, Institute of Technology, Nirma University, Ahmedabad, Gujarat, India., India; ,
FR1.R2.5: EFFECTIVE AND EFFICIENT DIMENSIONALITY REDUCTION OF HYPERSPECTRAL IMAGE USING CNN and LSTM NETWORK
Harshula Tulapurkar, Biplab Banerjee, Krishna Mohan Buddhiraju, Indian Institute of Technology, Bombay, India
FR1.R2.6: LOCAL GRAPH BASED SPECTRAL AND SPATIAL INFORMATION FUSION FOR HYPERSPECTRAL IMAGE CLASSIFICATION
Mohsen Darvishnezhad, Hassan Ghassemian, Maryam Imani, Tarbiat Modares University, Iran
FR1.R2.7: SIMILARITY MEASURES IN GENERATING SPECTRALLY DISTINCT TARGETS
Palla Parasuram Yadav, Amba Shetty, B S Raghavendra, A V Narasimhadhan, National Institute of Technology Karnataka, Surathkal, India
FR1.R2.8: EVALUTION OF MACHINE LEARNING METHODS FOR HYPERSPECTRAL IMAGE CLASSIFICATION
SURESH KUMAR MANCHIKANTI, KEERTHI VALLABHANENI, ANJANI R N, MANJU SARMA M, NRSC, India
FR1.R2.9: A 3D-DEEP CNN BASED FEATURE EXTRACTION AND HYPERSPECTRAL IMAGE CLASSIFICATION
MURALI KANTHI, JNTUCEA, JNTUA, Anantapur, India; T Hitendra Sarma, Srinivasa Ramanujan Institute of Technology, India; C Shoba Bindu, JNTUCEA, JNTUA, Anantapur, India
FR1.R2.10: Sponsor Presentation Video: ScanPoint
FR1.R2.11: Sponsor Presentation Video: Nascent