@inproceedings{2064023e1da84160b2b00843e20b66dc,
title = "Gabor-filtering-based probabilistic collaborative representation for hyperspectral image classification",
abstract = "This paper presents Gabor-filtering-based probabilistic collaborative representation for hyperspectral image classification. Compared with the original collaborative representation classifier (CRC) and the CRC using Gabor features, the proposed classifier offers superior classification performance. The regularized versions of CRC using Gabor features have excellent classification performance; however, those classifiers have high computational cost. Experimental results show that the proposed approach can generate high classification accuracy with lower computational cost.",
keywords = "Classification, Collaborative representation, Gabor filtering, Hyperspectral imagery, Probabilistic",
author = "Yan Xu and Qian Du and Wei Li and Nicolas Younan",
note = "Publisher Copyright: {\textcopyright} 2018 IEEE; 38th Annual IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 ; Conference date: 22-07-2018 Through 27-07-2018",
year = "2018",
month = oct,
day = "31",
doi = "10.1109/IGARSS.2018.8517805",
language = "English",
series = "International Geoscience and Remote Sensing Symposium (IGARSS)",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "5081--5084",
booktitle = "2018 IEEE International Geoscience and Remote Sensing Symposium, IGARSS 2018 - Proceedings",
address = "United States",
}