dc.contributor.author | Zhou, Jun | |
dc.contributor.author | Liang, Jie | |
dc.contributor.author | Qian, Yuntao | |
dc.contributor.author | Gao, Yongsheng | |
dc.contributor.author | Tong, Lei | |
dc.contributor.editor | Naoto Yokoya, Jocelyn Chanussot | |
dc.date.accessioned | 2017-12-19T01:51:09Z | |
dc.date.available | 2017-12-19T01:51:09Z | |
dc.date.issued | 2015 | |
dc.identifier.isbn | 9781467390156 | |
dc.identifier.issn | 2158-6268 | |
dc.identifier.doi | 10.1109/WHISPERS.2015.8075474 | |
dc.identifier.uri | http://hdl.handle.net/10072/355891 | |
dc.description.abstract | Joint spectral-spatial information based classification is an active topic in hyperspectral remote sensing. Current classification approaches adopt a random sampling strategy to evaluate the performance of various classification systems. Due to the limitation of benchmark data, sampling of training and testing data is performed on the same image. In this paper, we point out that while training with random sampling is practical for hyperspectral image classification, it has intrinsic problems in evaluating spectral-spatial information based classifiers. This statement is supported by several experiments, and has lead to the proposal of a new sampling strategy for comparing spectral spatial information based classifiers. | |
dc.description.peerreviewed | Yes | |
dc.language | English | |
dc.publisher | Institute of Electrical and Electronics Engineers (IEEE) | |
dc.publisher.place | United States | |
dc.relation.ispartofconferencename | 7th Workshop on Hyperspectral Image and Signal Processing - Evolution in Remote Sensing (WHISPERS) | |
dc.relation.ispartofconferencetitle | 2015 7TH WORKSHOP ON HYPERSPECTRAL IMAGE AND SIGNAL PROCESSING: EVOLUTION IN REMOTE SENSING (WHISPERS) | |
dc.relation.ispartofdatefrom | 2015-06-02 | |
dc.relation.ispartofdateto | 2015-06-05 | |
dc.relation.ispartoflocation | Tokyo, JAPAN | |
dc.relation.ispartofpagefrom | 4 pages | |
dc.relation.ispartofpageto | 4 pages | |
dc.relation.ispartofvolume | 2015-June | |
dc.subject.fieldofresearch | Image processing | |
dc.subject.fieldofresearchcode | 460306 | |
dc.title | On the sampling strategies for evaluation of joint spectral-spatial information based classifiers | |
dc.type | Conference output | |
dc.type.description | E1 - Conferences | |
dc.type.code | E - Conference Publications | |
dc.description.version | Accepted Manuscript (AM) | |
gro.faculty | Griffith Sciences, School of Information and Communication Technology | |
gro.rights.copyright | © 2015 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works. | |
gro.hasfulltext | Full Text | |
gro.griffith.author | Gao, Yongsheng | |
gro.griffith.author | Zhou, Jun | |