Statistical Classification for Assessing PRISMA Hyperspectral Potential for Agricultural Land Use-Reference-Cited by-同舟云学术

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Statistical Classification for Assessing PRISMA Hyperspectral Potential for Agricultural Land Use

Published:2013-04 Issue:2 Volume:6 Page:615-625
ISSN:1939-1404
Container-title:IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
language:
Short-container-title:IEEE J. Sel. Top. Appl. Earth Observations Remote Sensing

Author:

Amato Umberto,Antoniadis Anestis,Carfora Maria Francesca,Colandrea Paolo,Cuomo Vincenzo,Franzese Monica,Pignatti Stefano,Serio Carmine

Publisher

Institute of Electrical and Electronics Engineers (IEEE)

Subject

Atmospheric Science,Computers in Earth Sciences

Link

http://xplorestaging.ieee.org/ielx7/4609443/6516025/06495492.pdf?arnumber=6495492

Cited by 29 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Using PRISMA Hyperspectral Data for Land Cover Classification with Artificial Intelligence Support;Sustainability;2023-09-15

2. Mapping hydrothermal and supergene alteration zones associated with carbonate-hosted Zn-Pb deposits by using PRISMA satellite imagery supported by field-based hyperspectral data, mineralogical and geochemical analysis;Ore Geology Reviews;2023-01

3. Quantum Based Pseudo-Labelling for Hyperspectral Imagery: A Simple and Efficient Semi-Supervised Learning Method for Machine Learning Classifiers;Remote Sensing;2022-11-16

4. Comparative evaluation of airborne AVIRIS-NG and spaceborne PRISMA hyperspectral data in identification and mapping of altered/weathered minerals in Jahazpur, Rajasthan;Advances in Space Research;2022-09

5. Assessing the PRISMA Potential for Mineral Exploration to Vector Low-Grade Lithium Deposits;IGARSS 2022 - 2022 IEEE International Geoscience and Remote Sensing Symposium;2022-07-17

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