Artigo Acesso aberto Revisado por pares

Introduction to the Issue on Advances in Hyperspectral Data Processing and Analysis

2015; Institute of Electrical and Electronics Engineers; Volume: 9; Issue: 6 Linguagem: Inglês

10.1109/jstsp.2015.2457631

ISSN

1941-0484

Autores

Saurabh Prasad, Jocelyn Chanussot, James E. Fowler, José M. Bioucas‐Dias, Charles D. Creuserre,

Tópico(s)

Remote-Sensing Image Classification

Resumo

The articles in this special issue represent advances in hyperspectral image-processing research. Specifically, it focuses on novel algorithmic approaches related to the representation and analysis of hyperspectral images, as well as their application to real-world image-analysis needs. It also delves into theoretical insights, performance limits, and trade-offs on the class of emerging image-processing approaches tailored to hyperspectral images. This issue covers a gamut of broad topics, from representation and sensing (image coding, compressive sensing), feature extraction and channel selection, to image analysis (spectral unmixing, classification, and detection.

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