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Autor(en):
Ghamisi, P.; Souza, R.; Benediktsson, J. A.; Rittner, L.; Lotufo, R.; Zhu, X. X.
Titel:
Hyperspectral {Data} {Classification} {Using} {Extended} {Extinction} {Profiles}
Abstract:
This letter proposes a new approach for the spectral-spatial classification of hyperspectral images, which is based on a novel extrema-oriented connected filtering technique, entitled as extended extinction profiles. The proposed approach progressively simplifies the first informative features extracted from hyperspectral data considering different attributes. Then, the classification approach is applied on two well-known hyperspectral data sets, i.e., Pavia University and Indian Pines, and comp...     »
Stichworte:
Gray-scale, optimisation, feature extraction, image representation, image classification, image filtering, Data Mining, hyperspectral imaging, support vector machines (SVMs), Complexity theory, Extended multiextinction profile (EMEP), Radio frequency, array-based node-oriented max-tree representation, extended extinction profile, extrema-oriented connected filtering technique, hyperspectral data classification, hyperspectral image classification, random forests (RFs), spectral-spatial classifica...     »
Zeitschriftentitel:
IEEE Geoscience and Remote Sensing Letters
Jahr:
2016
Band / Volume:
13
Monat:
nov
Heft / Issue:
11
Seitenangaben Beitrag:
1641--1645
Volltext / DOI:
doi:10.1109/LGRS.2016.2600244
Print-ISSN:
1545-598X
Hinweise:
00001
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