Error removal by energy scaling from hyperspectral images for performance improvement of spectral classifiers-Reference-Cited by-同舟云学术

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Error removal by energy scaling from hyperspectral images for performance improvement of spectral classifiers

Published:2021-09-21 Issue:20 Volume:42 Page:7863-7879
ISSN:0143-1161
Container-title:International Journal of Remote Sensing
language:en
Short-container-title:International Journal of Remote Sensing

Author:

Patro Ram Narayan¹^ORCID,Subudhi Subhashree¹,Biswal Pradyut Kumar¹,Dell’Acqua Fabio²^ORCID,Sahoo Harish Kumar³

Affiliation:

1. Department of Electronics and Communication Engineering, Iiit, Bhubaneswar, India

2. Department of Electrical, Computer and Biomedical Engineering, University of Pavia, Pavia, Italy

3. Department of Electronics and Telecommunication Engineering, Vssut, Burla, India

Publisher

Informa UK Limited

Subject

General Earth and Planetary Sciences

Link

https://www.tandfonline.com/doi/pdf/10.1080/01431161.2021.1966851

Reference21 articles.

1. ESA’s Earth Observation Strategy and Copernicus

2. Toward an Optimal SVM Classification System for Hyperspectral Remote Sensing Images

3. ATMOSPHERIC CORRECTION OF HYPERSPECTRAL IMAGES USING APPROXIMATE SOLUTION OF MODTRAN TRANSMITTANCE EQUATION

4. Kernel-based methods for hyperspectral image classification

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