Land cover classification of spaceborne multifrequency SAR and optical multispectral data using machine learning-Reference-Cited by-同舟云学术

Land cover classification of spaceborne multifrequency SAR and optical multispectral data using machine learning

Published:2022-02 Issue:4 Volume:69 Page:1726-1742
ISSN:0273-1177
Container-title:Advances in Space Research
language:en
Short-container-title:Advances in Space Research

Author:

Garg Rajat^ORCID,Kumar Anil^ORCID,Prateek Manish^ORCID,Pandey Kamal^ORCID,Kumar Shashi

Funder

ISRO

Publisher

Elsevier BV

Subject

Space and Planetary Science,Aerospace Engineering,General Earth and Planetary Sciences,Atmospheric Science,Geophysics,Astronomy and Astrophysics

Reference69 articles.

1. A comparative study of ALOS-2 PALSAR and landsat-8 imagery for land cover classification using maximum likelihood classifier;Ali;Egypt J. Remote Sens. Sp. Sci.,2018

2. SAR Imagery Classification using Multi-class Support Vector Machines;Angiulli;J. Electromagn. Waves Appl.,2005

3. Cloud cover in Landsat observations of the Brazilian Amazon;Asner;Int. J. Remote Sens.,2001

4. UAVSAR Tomography for Vertical Profile Generation of Tropical Forest of Mondah National Park, Gabon;Asopa;Earth Sp. Sci.,2020

5. Awasthi, S., Kumar, S., Thakur, P.K., Jain, K., Kumar, A., Snehmani, 2021. Snow depth retrieval in North-Western Himalayan region using pursuit-monostatic TanDEM-X datasets applying polarimetric synthetic aperture radar interferometry based inversion Modelling. Int. J. Remote Sens. 42, 2872–2897. https://doi.org/10.1080/01431161.2020.1862439.

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