Zobrazeno 1 - 10
of 29
pro vyhledávání: '"Xiaoyong Bian"'
Publikováno v:
Remote Sensing, Vol 8, Iss 12, p 985 (2016)
Sparse representation (SR)-driven classifiers have been widely adopted for hyperspectral image (HSI) classification, and many algorithms have been presented recently. However, most of the existing methods exploit the single layer hard assignment base
Externí odkaz:
https://doaj.org/article/53e279c8a76e41f692a83d238013acfe
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing. 10:2889-2901
In this paper, a fused global saliency-based multiscale multiresolution multistructure local binary pattern (salM 3LBP) feature and local codebookless model (CLM) feature is proposed for high-resolution image scene classification. First, two differen
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5ebee50839ffdc69736f2d99643b58f7
https://doi.org/10.1109/jstars.2017.2683799
https://doi.org/10.1109/jstars.2017.2683799
Publikováno v:
SMC
Efficient and accurate classification of high-resolution scene remains a challenge of within-class diversity and between-class similarity due to rich image variations in viewpoint, object pose, spatial resolution and background. To address these issu
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5d2121e09a2df10e552991d4a2448a5c
https://doi.org/10.1109/smc.2019.8914533
https://doi.org/10.1109/smc.2019.8914533
Publikováno v:
IGARSS
High-resolution scene classification is a fundamental yet challenging problem due to rich image variations in viewpoint, object pose and spatial resolution, etc, which results in large within-class diversity and high between-class similarity. In the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::937cff8a8326a8a5d0afc4941b2a0525
https://doi.org/10.1109/igarss.2019.8898849
https://doi.org/10.1109/igarss.2019.8898849
Publikováno v:
IGARSS
In the paper we propose a novel multiple kernel learning framework for representation-based classification (MKL-RC) of remote sensing image scenes. Unlike the existing methods that often greedily learn an optimal combined kernel from predefined base
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::b9cc6adcb39d37488386d500ecf08abf
https://doi.org/10.1109/igarss.2018.8518884
https://doi.org/10.1109/igarss.2018.8518884
Publikováno v:
2018 Chinese Control And Decision Conference (CCDC).
In the paper we propose a multiple kernel learning framework for representation-based classification (MKL_RC) of hyperspectral images. Unlike the existing methods that often exploit the single feature extraction method or the single kernel method; mo
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::6d29fd9771cbf87e11148380aaff5e5c
https://doi.org/10.1109/ccdc.2018.8407730
https://doi.org/10.1109/ccdc.2018.8407730
Publikováno v:
2018 Chinese Control And Decision Conference (CCDC).
In this papers, classification of remote sensing image scene is investigated. A scene classification approach based on multi-feature fusion has been proposed. In the proposed approach, three types of features are extracted. Specifically, extended mul
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::441b610a3080d47b1e1d8af2d024ce53
https://doi.org/10.1109/ccdc.2018.8407728
https://doi.org/10.1109/ccdc.2018.8407728
Publikováno v:
IGARSS
This paper presents a novel deep convolutional feature fusion (ConvFF) approach for high-resolution scene classification, characterizing the well-known deep convolutional neural network (ConvNet) approach. The proposed ConvFF approach starts by gener
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::34c733f795639d6f24c0685052837318
https://doi.org/10.1109/igarss.2017.8127688
https://doi.org/10.1109/igarss.2017.8127688
Autor:
Liang Zhou, Xiaoyong Bian
Publikováno v:
Journal of Physics: Conference Series. 1345:032097
Aiming at the problem that the traditional text sentiment classification method is not sufficient for text context information learning and key feature extraction ability, this paper proposes a BiGRU-Attention based text sentiment classification meth
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5b9375f0b20f6865fa9d5da0b73dbd40
https://doi.org/10.1088/1742-6596/1345/3/032097
https://doi.org/10.1088/1742-6596/1345/3/032097
Publikováno v:
IGARSS
This paper presents a novel extended multi-structure local binary pattern (EMSLBP) approach for high-resolution image classification, generalizing the well-known local binary pattern (LBP) approach. In the proposed EMSLBP approach, three-coupled desc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::8ded81c6d6a0911b3dc3a62a0fc82c41
https://doi.org/10.1109/igarss.2016.7730338
https://doi.org/10.1109/igarss.2016.7730338