TU1.P6.4
OPTIMIZING LAND USE AND LAND COVER CLASSIFICATION USING RANDOM FORESTS AND SPECTRAL FEATURES
Apratim Bhattacharya, Aniruddha Khatua, Bharath Haridas Aithal, Indian Institute of Technology Kharagpur, India
Session:
TU1.P6: Harnessing the Power of Earth Observation Data and High-end Computing for Next Generation Land Use and Land Cover Mapping Oral
Track:
Community-Contributed Sessions
Location:
Plaza: Room P6
Presentation Time:
Tuesday, 5 August, 08:45 - 09:00
Session Co-Chairs:
Bharath Haridas Aithal, Indian Institute of Technology Kharagpur and Adriana Parra Ruiz, CSIRO
Session TU1.P6
TU1.P6.1: Developing a Deep Learning Approach for Building Change Detection in High-Resolution Remote Sensing Imagery
Aniruddha Khatua, Indian Institute of Technology Kharagpur, India; Apratim Bhattacharya, Anita Gautam, Arkopal K Goswami, IIT Kharagpur, India; Bharath Haridas Aithal, Indian Institute of Technology Kharagpur, India
TU1.P6.2: Urban Growth Dynamics Through A Comparative Study Of Classification Techniques
Anita Gautam, Bharath Haridas Aithal, Indian Institute of Technology Kharagpur, India
TU1.P6.3: S2DFORMER: A SPATIO-SPECTRAL DILATED TRANSFORMER FOR IMPROVED GEOLOGICAL INTERPRETATION USING MULTISOURCE DATASETS
Michael Appiah-Twum, Wenbo Xu, Haitao Jia, Boyang Zhang, University of Electronic Science and Technology of China, China
TU1.P6.4: OPTIMIZING LAND USE AND LAND COVER CLASSIFICATION USING RANDOM FORESTS AND SPECTRAL FEATURES
Apratim Bhattacharya, Aniruddha Khatua, Bharath Haridas Aithal, Indian Institute of Technology Kharagpur, India
TU1.P6.5: Ecosystem Extent Mapping in the Great Western Woodlands, Australia, Using Optical and SAR Satellite Imagery
Adriana Parra, Zheng-Shu Zhou, Matt Garthwaite, Shaun Levick, Commonwealth Scientific and Industrial Research Organisation, Australia
Resources