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dc.contributor.authorWang, C
dc.contributor.authorBai, X
dc.contributor.authorZhou, L
dc.contributor.authorZhou, J
dc.date.accessioned2020-04-02T01:50:05Z
dc.date.available2020-04-02T01:50:05Z
dc.date.issued2019
dc.identifier.isbn9781538691540
dc.identifier.issn2153-6996
dc.identifier.doi10.1109/IGARSS.2019.8897931
dc.identifier.urihttp://hdl.handle.net/10072/392918
dc.description.abstractDeep convolutional neural network has been used for pixel-wise hyperspectral image classification. However, convolutional operations only extract features from local neighborhood at a time, which is inefficient to capture long-range dependencies. On the other hand, the lack of training samples often leads to over-fitting problem. In this paper, we proposed a neural network which is formed by sequential local and non-local operation blocks. The proposed network takes hyperspectral image as input and outputs the class inference of each pixel. The local operation module extracts local spatial and spectral features. The non-local operation module computes the response at a position as a weighted sum of the features at all positions. So it can capture long-range dependencies without stacking deep layers. Experiments on two public datasets show that our proposed method outperforms several state-of-the-art methods using limited number of training samples.
dc.description.peerreviewedYes
dc.languageEnglish
dc.publisherIEEE
dc.relation.ispartofconferencename2019 IEEE International Geoscience and Remote Sensing Symposium (IGARSS 2019)
dc.relation.ispartofconferencetitleInternational Geoscience and Remote Sensing Symposium (IGARSS)
dc.relation.ispartofdatefrom2019-07-28
dc.relation.ispartofdateto2019-08-02
dc.relation.ispartoflocationYokohama, Japan
dc.relation.ispartofpagefrom584
dc.relation.ispartofpageto587
dc.subject.fieldofresearchArtificial intelligence
dc.subject.fieldofresearchcode4602
dc.titleHyperspectral Image Classification Based on Non-Local Neural Networks
dc.typeConference output
dc.type.descriptionE1 - Conferences
dcterms.bibliographicCitationWang, C; Bai, X; Zhou, L; Zhou, J, Hyperspectral Image Classification Based on Non-Local Neural Networks, International Geoscience and Remote Sensing Symposium (IGARSS), 2019, pp. 584-587
dc.date.updated2020-04-02T01:49:12Z
gro.hasfulltextNo Full Text
gro.griffith.authorZhou, Jun


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