New Informed Linear Mixing Model And NMF-Based Unmixing Method Addressing Spectral Variability With An Application To Mineral Detection And Mapping Using Prisma Hyperspectral Remote Sensing Data-Reference-Cited by-同舟云学术

New Informed Linear Mixing Model And NMF-Based Unmixing Method Addressing Spectral Variability With An Application To Mineral Detection And Mapping Using Prisma Hyperspectral Remote Sensing Data

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:

Benhalouche Fatima Zohra¹,Benabbou Oussama¹,Yahia Oualid¹,Karoui Moussa Sofiane¹,Deville Yannick²,Kebir Lahsen Wahib¹,Bennia Ahmed¹

Affiliation:

1. Centre des Techniques Spatiales,Agence Spatiale Algérienne,Arzew,Algérie

2. Université de Toulouse, UPS-OMP, CNRS, CNES,IRAP,Toulouse,France

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10281394/10281399/10282207.pdf?arnumber=10282207

Reference15 articles.

1. Spectral Unmixing for the Classification of Hyperspectral Images at a Finer Spatial Resolution

2. Detecting And Mapping Kaolinite In The Algerian Central Hoggar With A Partial Linear Nmf-Based Unmixing Method

3. Geodynamic evolution of the Pan-African orogenic belt: A new interpretation of the Hoggar shield (Algerian Sahara)

4. Hyperspectral Unmixing with a Modified Augmented Linear Mixing Model Addressing Spectral Variability

5. Prisma: The Italian Hyperspectral Mission

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