NONLINEAR UNMIXING OF HYPERSPECTRAL IMAGES: MODELS AND ALGORITHMS

327 indexed citations
published 2014

Countries where authors are citing NONLINEAR UNMIXING OF HYPERSPECTRAL IMAGES: MODELS AND ALGORITHMS

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Fields of papers citing NONLINEAR UNMIXING OF HYPERSPECTRAL IMAGES: MODELS AND ALGORITHMS

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Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of NONLINEAR UNMIXING OF HYPERSPECTRAL IMAGES: MODELS AND ALGORITHMS. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the NONLINEAR UNMIXING OF HYPERSPECTRAL IMAGES: MODELS AND ALGORITHMS.

About NONLINEAR UNMIXING OF HYPERSPECTRAL IMAGES: MODELS AND ALGORITHMS

This paper, published in 2014, received 327 indexed citations . Written by Nicolas Dobigeon, Jean‐Yves Tourneret, Cédric Richard, J.C.M. Bermudez, Stephen McLaughlin and Alfred O. Hero covering the research area of Atmospheric Science and Media Technology. It is primarily cited by scholars working on Media Technology (279 citations), Atmospheric Science (145 citations), Artificial Intelligence (45 citations), Analytical Chemistry (44 citations) and Computer Vision and Pattern Recognition (44 citations).

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

This paper is also available at doi.org/w22710312.

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