Modeling Spectral Mixing for Geological Mixtures: Detecting Nonlinearly Mixed Pixels in Hyperspectral Image of Banded Hematite Quartzite-Reference-Cited by-同舟云学术

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Modeling Spectral Mixing for Geological Mixtures: Detecting Nonlinearly Mixed Pixels in Hyperspectral Image of Banded Hematite Quartzite

Published:2023-07-16 Issue: Volume: Page:
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Container-title:IGARSS 2023 - 2023 IEEE International Geoscience and Remote Sensing Symposium
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Author:

Sahoo Maitreya Mohan¹,Kalimuthu R.¹,P.V. Arun²,Mathew Shibu K.³,Porwal Alok¹

Affiliation:

1. Indian Institute of Technology Bombay,Centre of Studies in Resources Engineering,Mumbai,India,400076

2. Indian Institute of Information Technology,Sri City, Chittoor,India,517646

3. Physical Research Laboratory,Udaipur Solar Observatory,Udaipur,India,313001

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10283193.pdf?arnumber=10283193

Reference19 articles.

1. Endmember variability in Spectral Mixture Analysis: A review

2. Mapping target signatures via partial unmixing of AVIRIS data;boardman,0

3. Digital Image Analysis;lillesand;Remote Sensing and Image Interpretation,2015

4. A robust test for nonlinear mixture detection in hyperspectral images

5. Nonparametric Detection of Nonlinearly Mixed Pixels and Endmember Estimation in Hyperspectral Images

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