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Class-guided coupled dictionary learning for multispectral-hyperspectral remote sensing image collaborative classification

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Science China(Technological Sciences) 2022年第4期65卷 744-758页

作者： LIU TianZhu GU YanFeng JIA XiuPing School of Electronics and Information Engineering Harbin Institute of TechnologyHarbin 150001China Heilongjiang Province Key Laboratory of Space-Air-Ground Integrated Intelligent remote sensing Harbin 150001China School of Engineering and Information Technology University of New South WalesCanberra 2610Australia

The fine classification of large-scale scenes is becoming more and more important in optical remote sensing *** two kinds of typical optical remote sensing data,multispectral images(MSIs)and hyperspectral images(HSIs)have complementary *** MSI has a large swath and short revisit period,but the number of bands is limited with low spectral resolution,leading to weak separability of between class *** with MSI,HSI has hundreds of bands and each of them is narrow in bandwidth,which enable it to have the ability of fine classification,but too long in aspects of revisit *** make efficient use of their combined advantages,multispectral-hyperspectral remote sensing image collaborative classification has become one of hot topics in remote *** deal with the collaborative classification,most of current methods are unsupervised and only consider the HSI reconstruction as the *** this paper,a class-guided coupled dictionary learning method is proposed,which is obviously distinguished from the current ***,the proposed method utilizes the labels of training samples to construct discriminative sparse representation coefficient error and classification error as regularization terms,so as to enforce the learned coupled dictionaries to be both representational and *** learned coupled dictionaries facilitate pixels from the same category have similar sparse represent coefficients,while pixels from different categories have different sparse represent *** experiments on three pairs of HSI and MSI have shown better classification performance.

关键词： multimodal remote sensing multispectral image hyperspectral image collaborative classification class-guided coupled dictionary learning

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