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Semisupervised Pair-Wise Band Selection for Hyperspectral Images
Bai, Jun; Xiang, Shiming; Shi, Limin; Pan, Chunhong
Source PublicationIEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
2015-06-01
Volume8Issue:6Pages:2798-2813
SubtypeArticle
AbstractThis paper proposes a new approach of band selection for classifying multiple objects in hyperspectral images. Different from traditional algorithms, we construct a semisupervised pair-wise band selection (PWBS) framework for this task, in which an individual band selection process is performed only for each pair of classes. First, the statistical parameters for spectral features of each class, including mean vectors and covariance matrices, are estimated by an expectation maximization approach in a semisupervised learning setting, where both labeled and unlabeled samples are employed for better performance. For each pair of classes, based on the estimated statistical parameters, Bhattacharyya distances between the two classes are calculated to evaluate all possible subsets of bands for classification. Second, as our proposed semisupervised framework, the PWBS followed by a binary classifier can be embedded into the semisupervised expectation maximization process to obtain posterior probabilities of samples on the selected bands. Finally, to evaluate the selected bands, all of the binary decisions obtained with multiple binary classifiers are finally fused together. Comparative experimental results demonstrate the validity of our proposed algorithm. The experimental results also prove that our band selection algorithm can perform well when the training set is very small.
KeywordBand Selection Classification Hyperspecral Remote Sensing Semisupervised
WOS HeadingsScience & Technology ; Technology ; Physical Sciences
DOI10.1109/JSTARS.2015.2424433
WOS KeywordSUPPORT VECTOR MACHINES ; DIMENSIONALITY REDUCTION ; MORPHOLOGICAL PROFILES ; DISCRIMINANT-ANALYSIS ; CLASSIFICATION ; SVM ; INFORMATION ; PARAMETERS ; REGRESSION ; ALGORITHM
Indexed BySCI
Language英语
WOS Research AreaEngineering ; Physical Geography ; Remote Sensing ; Imaging Science & Photographic Technology
WOS SubjectEngineering, Electrical & Electronic ; Geography, Physical ; Remote Sensing ; Imaging Science & Photographic Technology
WOS IDWOS:000359264000042
Citation statistics
Cited Times:7[WOS]   [WOS Record]     [Related Records in WOS]
Document Type期刊论文
Identifierhttp://ir.ia.ac.cn/handle/173211/8902
Collection模式识别国家重点实验室_先进数据分析与学习
AffiliationChinese Acad Sci, Inst Automat, Natl Lab Pattern Recognit, Beijing 100190, Peoples R China
Recommended Citation
GB/T 7714
Bai, Jun,Xiang, Shiming,Shi, Limin,et al. Semisupervised Pair-Wise Band Selection for Hyperspectral Images[J]. IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,2015,8(6):2798-2813.
APA Bai, Jun,Xiang, Shiming,Shi, Limin,&Pan, Chunhong.(2015).Semisupervised Pair-Wise Band Selection for Hyperspectral Images.IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING,8(6),2798-2813.
MLA Bai, Jun,et al."Semisupervised Pair-Wise Band Selection for Hyperspectral Images".IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING 8.6(2015):2798-2813.
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