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  2. 地质与地球物理研究所
  3. 中国科学院地质与地球物理研究所
  4. 中国科学院地球与行星物理重点实验室
Joint Hapke Model and Spatial Adaptive Sparse Representation with Iterative Background Purification for Martian Serpentine Detection

文献类型：期刊论文

作者Wu, Xing1,2,3; Zhang, Xia3; Mustard, John2; Tarnas, Jesse2; Lin, Honglei5; Liu, Yang1,4
刊名REMOTE SENSING
出版日期2021-02-01
卷号13期号:3页码:21
关键词hyperspectral remote sensing Mars mineral detection Hapke model sparse representation
DOI10.3390/rs13030500
英文摘要Visible and infrared imaging spectroscopy have greatly revolutionized our understanding of the diversity of minerals on Mars. Characterizing the mineral distribution on Mars is essential for understanding its geologic evolution and past habitability. The traditional handcrafted spectral index could be ambiguous as it may denote broad mineralogical classes, making this method unsuitable for definitive mineral investigation. In this work, the target detection technique is introduced for specific mineral mapping. We have developed a new subpixel mineral detection method by joining the Hapke model and spatially adaptive sparse representation method. Additionally, an iterative background dictionary purification strategy is proposed to obtain robust detection results. Laboratory hyperspectral image containing Mars Global Simulant and serpentine mixtures was used to evaluate and tailor the proposed method. Compared with the conventional target detection algorithms, including constrained energy minimization, matched filter, hierarchical constrained energy minimization, sparse representation for target detection, and spatially adaptive sparse representation method, the proposed algorithm has a significant improvement in accuracy about 30.14%, 29.67%, 29.41%, 9.13%, and 8.17%, respectively. Our algorithm can detect subpixel serpentine with an abundance as low as 2.5% in laboratory data. Then the proposed algorithm was applied to two well-studied Compact Reconnaissance Imaging Spectrometer for Mars images, which contain serpentine outcrops. Our results are not only consistent with the spatial distribution of Fe/Mg phyllosilicates derived by spectral indexes, but also denote what the specific mineral is. Experimental results show that the proposed algorithm enables the search for subpixel, low-abundance, and scientifically valuable mineral deposits.
资助项目National Natural Science Foundation of China[41671360] ; National Natural Science Foundation of China[42072337] ; National Natural Science Foundation of China[11941001] ; Strategic Priority Research Program of Chinese Academy of Sciences[XDB 41000000] ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA)[D020101] ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA)[D020102] ; Beijing Municipal Science and Technology Commission[Z191100004319001] ; Beijing Municipal Science and Technology Commission[Z181100002918003] ; National Key Research and Development project[2019YFE0123300]
WOS研究方向Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
语种英语
WOS记录号WOS:000615466100001
出版者MDPI
资助机构National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA) ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA) ; Beijing Municipal Science and Technology Commission ; Beijing Municipal Science and Technology Commission ; National Key Research and Development project ; National Key Research and Development project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA) ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA) ; Beijing Municipal Science and Technology Commission ; Beijing Municipal Science and Technology Commission ; National Key Research and Development project ; National Key Research and Development project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA) ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA) ; Beijing Municipal Science and Technology Commission ; Beijing Municipal Science and Technology Commission ; National Key Research and Development project ; National Key Research and Development project ; National Natural Science Foundation of China ; National Natural Science Foundation of China ; Strategic Priority Research Program of Chinese Academy of Sciences ; Strategic Priority Research Program of Chinese Academy of Sciences ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA) ; pre-research project on Civil Aerospace Technologies - China National Space Administration (CNSA) ; Beijing Municipal Science and Technology Commission ; Beijing Municipal Science and Technology Commission ; National Key Research and Development project ; National Key Research and Development project
源URL[http://ir.iggcas.ac.cn/handle/132A11/100085]  
专题地质与地球物理研究所_中国科学院地球与行星物理重点实验室
通讯作者Zhang, Xia
作者单位1.Chinese Acad Sci, Natl Space Sci Ctr, State Key Lab Space Weather, Beijing 100190, Peoples R China
2.Brown Univ, Dept Earth Environm & Planetary Sci, Providence, RI 02912 USA
3.Chinese Acad Sci, Aerosp Informat Res Inst, State Key Lab Remote Sensing Sci, Beijing 100101, Peoples R China
4.Chinese Acad Sci, Ctr Excellence Comparat Planetol, Hefei 230026, Peoples R China
5.Chinese Acad Sci, Inst Geol & Geophys, Key Lab Earth & Planetary Phys, Beijing 100029, Peoples R China
推荐引用方式
GB/T 7714		 Wu, Xing,Zhang, Xia,Mustard, John,et al. Joint Hapke Model and Spatial Adaptive Sparse Representation with Iterative Background Purification for Martian Serpentine Detection[J]. REMOTE SENSING,2021,13(3):21.
APA Wu, Xing,Zhang, Xia,Mustard, John,Tarnas, Jesse,Lin, Honglei,&Liu, Yang.(2021).Joint Hapke Model and Spatial Adaptive Sparse Representation with Iterative Background Purification for Martian Serpentine Detection.REMOTE SENSING,13(3),21.
MLA Wu, Xing,et al."Joint Hapke Model and Spatial Adaptive Sparse Representation with Iterative Background Purification for Martian Serpentine Detection".REMOTE SENSING 13.3(2021):21.

入库方式： OAI收割

来源：地质与地球物理研究所

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