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Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image | IEEE Journals & Magazine | IEEE Xplore

Enhancement of Spectral Resolution for Remotely Sensed Multispectral Image


Abstract:

Hyperspectral (HS) remote sensing has an important role in a wide variety of fields. However, its rapid progress has been constrained due to the narrow swath of HS images...Show More

Abstract:

Hyperspectral (HS) remote sensing has an important role in a wide variety of fields. However, its rapid progress has been constrained due to the narrow swath of HS images. This paper proposes a spectral resolution enhancement method (SREM) for remotely sensed multispectral (MS) image, to generate wide swath HS images using auxiliary multi/hyper-spectral data. Firstly, a set number of spectra of different materials are extracted from both the MS and HS data. Secondly, the approach makes use of the linear relationships between multi and hyper-spectra of specific materials to generate a set of transformation matrices. Then, a spectral angle weighted minimum distance (SAWMD) matching method is used to select a suitable matrix to create HS vectors from the original MS image, pixel by pixel. The final result image data has the same spectral resolution as the original HS data that used and the spatial resolution and swath were also the same as for the original MS data. The derived transformation matrices can also be used to generate multitemporal HS data from MS data for different periods. The approach was tested with three image datasets, and the spectra-enhanced and real HS data were compared by visual interpretation, statistical analysis, and classification to evaluate the performance. The experimental results demonstrated that SREM produces good image data, which will not only greatly improve the range of applications for HS data but also encourage more utilization of MS data.
Page(s): 2198 - 2211
Date of Publication: 25 September 2014

ISSN Information:

Funding Agency:

Author image of Xuejian Sun
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Xuejian Sun received the B.E. degree in surveying and mapping engineering from Tongji University, Shanghai, China, in 2010, and currently he is pursuing the Ph.D. degree in cartography and geographical information systems at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.
His research interests include remote sensing data processing, hyperspectral remote sensing feature extra...Show More
Xuejian Sun received the B.E. degree in surveying and mapping engineering from Tongji University, Shanghai, China, in 2010, and currently he is pursuing the Ph.D. degree in cartography and geographical information systems at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.
His research interests include remote sensing data processing, hyperspectral remote sensing feature extra...View more
Author image of Lifu Zhang
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Lifu Zhang (S’04–M’05–SM’14) received the B.E. degree in photogrammetry and remote sensing from the Department of Airborne Photogrammetry and Remote Sensing, Wuhan Technical University of Surveying and Mapping (WTUSM), Wuhan, China, in 1992, the M.E. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, WTUSM, in 2000, and the Ph.D. d...Show More
Lifu Zhang (S’04–M’05–SM’14) received the B.E. degree in photogrammetry and remote sensing from the Department of Airborne Photogrammetry and Remote Sensing, Wuhan Technical University of Surveying and Mapping (WTUSM), Wuhan, China, in 1992, the M.E. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, WTUSM, in 2000, and the Ph.D. d...View more
Author image of Hang Yang
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Hang Yang received the B.Ag. degree in agricultural education from the Department of Agricultural, Laiyang Agricultural College, Qingdao Agricultural University, Qingdao, China, in 2001, the M.S. degree in ecology from China Agricultural University (CAU), Beijing, China, in 2004, and the Ph.D. degree in cartography and geographical information systems with the Institute of Remote Sensing and Digital Earth, Chinese Academy...Show More
Hang Yang received the B.Ag. degree in agricultural education from the Department of Agricultural, Laiyang Agricultural College, Qingdao Agricultural University, Qingdao, China, in 2001, the M.S. degree in ecology from China Agricultural University (CAU), Beijing, China, in 2004, and the Ph.D. degree in cartography and geographical information systems with the Institute of Remote Sensing and Digital Earth, Chinese Academy...View more
Author image of Taixia Wu
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Taixia Wu received the B.Ag. degree in forestry remote sensing from Nanjing Forestry University, Nanjing, China, in 1999, the M.S. degree in cartography and GIS from the College of Urban and Environmental Sciences, Northeast Normal University, Changchun, China, in 2006, and the Ph.D. degree in remote sensing from Peking University, Beijing, China, in 2010.
Currently, he is an Associate Research Fellow with the Institute of...Show More
Taixia Wu received the B.Ag. degree in forestry remote sensing from Nanjing Forestry University, Nanjing, China, in 1999, the M.S. degree in cartography and GIS from the College of Urban and Environmental Sciences, Northeast Normal University, Changchun, China, in 2006, and the Ph.D. degree in remote sensing from Peking University, Beijing, China, in 2010.
Currently, he is an Associate Research Fellow with the Institute of...View more
Author image of Yi Cen
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Yi Cen received the Ph.D. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China, in 2008.
Currently, she is a Postdoctoral Researcher in Remote Sensing with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China. Her research interests include hyperspectral remote s...Show More
Yi Cen received the Ph.D. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China, in 2008.
Currently, she is a Postdoctoral Researcher in Remote Sensing with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China. Her research interests include hyperspectral remote s...View more
Author image of Yi Guo
Commonwealth Science and Industry Organization (CSIRO), Digital Productivity and Services Flagship, North Ryde, NSW, Australia
Yi Guo received the B.E. degree in electrical engineering from North China University of Technology, Beijing, China, in 1998, and the Ph.D. degree from the University of New England, Armidale, Australia, in 2008.
Since 2008, he has been a Research Scientist with Commonwealth Science and Industry Organization (CSIRO), Sydney, Australia. His research interests include machine learning and computational statistics for big dat...Show More
Yi Guo received the B.E. degree in electrical engineering from North China University of Technology, Beijing, China, in 1998, and the Ph.D. degree from the University of New England, Armidale, Australia, in 2008.
Since 2008, he has been a Research Scientist with Commonwealth Science and Industry Organization (CSIRO), Sydney, Australia. His research interests include machine learning and computational statistics for big dat...View more

Author image of Xuejian Sun
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Xuejian Sun received the B.E. degree in surveying and mapping engineering from Tongji University, Shanghai, China, in 2010, and currently he is pursuing the Ph.D. degree in cartography and geographical information systems at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.
His research interests include remote sensing data processing, hyperspectral remote sensing feature extraction, hyperspectral data fusion, and super-resolution reconstruction.
Xuejian Sun received the B.E. degree in surveying and mapping engineering from Tongji University, Shanghai, China, in 2010, and currently he is pursuing the Ph.D. degree in cartography and geographical information systems at the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China.
His research interests include remote sensing data processing, hyperspectral remote sensing feature extraction, hyperspectral data fusion, and super-resolution reconstruction.View more
Author image of Lifu Zhang
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Lifu Zhang (S’04–M’05–SM’14) received the B.E. degree in photogrammetry and remote sensing from the Department of Airborne Photogrammetry and Remote Sensing, Wuhan Technical University of Surveying and Mapping (WTUSM), Wuhan, China, in 1992, the M.E. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, WTUSM, in 2000, and the Ph.D. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China, in 2005.
From 2003 to 2004, he was a Visiting Researcher with the Department of Information and Computer Sciences, Nara Women’s University, Nara, Japan. From 2005 to 2007, he was a Postdoctoral Researcher with the Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China. In 2011, he was an Advanced Visiting Researcher with the Earth Science and Resource Engineering, Commonwealth Scientific and Industrial Research Organization (CSIRO), Sydney, Australia. In 2007, he joined the former Institute of Remote Sensing Applications (IRSA), Chinese Academy of Sciences (CAS), Beijing, China, where he was a Research Professor and a Scientist Team Leader. From November 2012, IRSA was merged and given a new name of Institute of Remote Sensing and Digital Earth (RADI), CAS, where he is a Professor and the Head of the Hyperspectral Remote Sensing Laboratory, RADI, CAS. His research interests include hyperspectral remote sensing, imaging spectrometer system development, and its applications.
Dr. Zhang is a Member of SPIE, a Senior Member of the Academy of Space Science of China, and is also a Committeeman of Chinese National Committee of the International Society for Digital Earth (CNISDE), a Vice Chairman of Hyperspectral Earth Observation Committee (HEOC), CNISDE, and a Standing Committeeman of the Expert Committee of China Association of Remote Sensing Applications.
Lifu Zhang (S’04–M’05–SM’14) received the B.E. degree in photogrammetry and remote sensing from the Department of Airborne Photogrammetry and Remote Sensing, Wuhan Technical University of Surveying and Mapping (WTUSM), Wuhan, China, in 1992, the M.E. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, WTUSM, in 2000, and the Ph.D. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China, in 2005.
From 2003 to 2004, he was a Visiting Researcher with the Department of Information and Computer Sciences, Nara Women’s University, Nara, Japan. From 2005 to 2007, he was a Postdoctoral Researcher with the Institute of Remote Sensing and Geographic Information System, School of Earth and Space Sciences, Peking University, Beijing, China. In 2011, he was an Advanced Visiting Researcher with the Earth Science and Resource Engineering, Commonwealth Scientific and Industrial Research Organization (CSIRO), Sydney, Australia. In 2007, he joined the former Institute of Remote Sensing Applications (IRSA), Chinese Academy of Sciences (CAS), Beijing, China, where he was a Research Professor and a Scientist Team Leader. From November 2012, IRSA was merged and given a new name of Institute of Remote Sensing and Digital Earth (RADI), CAS, where he is a Professor and the Head of the Hyperspectral Remote Sensing Laboratory, RADI, CAS. His research interests include hyperspectral remote sensing, imaging spectrometer system development, and its applications.
Dr. Zhang is a Member of SPIE, a Senior Member of the Academy of Space Science of China, and is also a Committeeman of Chinese National Committee of the International Society for Digital Earth (CNISDE), a Vice Chairman of Hyperspectral Earth Observation Committee (HEOC), CNISDE, and a Standing Committeeman of the Expert Committee of China Association of Remote Sensing Applications.View more
Author image of Hang Yang
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Hang Yang received the B.Ag. degree in agricultural education from the Department of Agricultural, Laiyang Agricultural College, Qingdao Agricultural University, Qingdao, China, in 2001, the M.S. degree in ecology from China Agricultural University (CAU), Beijing, China, in 2004, and the Ph.D. degree in cartography and geographical information systems with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, in 2011.
His research interests include hyperspectral thermal infrared remote sensing, atmospheric correction, and information extraction using hyperspectral remote sensing.
Hang Yang received the B.Ag. degree in agricultural education from the Department of Agricultural, Laiyang Agricultural College, Qingdao Agricultural University, Qingdao, China, in 2001, the M.S. degree in ecology from China Agricultural University (CAU), Beijing, China, in 2004, and the Ph.D. degree in cartography and geographical information systems with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, in 2011.
His research interests include hyperspectral thermal infrared remote sensing, atmospheric correction, and information extraction using hyperspectral remote sensing.View more
Author image of Taixia Wu
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Taixia Wu received the B.Ag. degree in forestry remote sensing from Nanjing Forestry University, Nanjing, China, in 1999, the M.S. degree in cartography and GIS from the College of Urban and Environmental Sciences, Northeast Normal University, Changchun, China, in 2006, and the Ph.D. degree in remote sensing from Peking University, Beijing, China, in 2010.
Currently, he is an Associate Research Fellow with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, since 2010. His research interests include hyperspectral remote sensing.
Taixia Wu received the B.Ag. degree in forestry remote sensing from Nanjing Forestry University, Nanjing, China, in 1999, the M.S. degree in cartography and GIS from the College of Urban and Environmental Sciences, Northeast Normal University, Changchun, China, in 2006, and the Ph.D. degree in remote sensing from Peking University, Beijing, China, in 2010.
Currently, he is an Associate Research Fellow with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China, since 2010. His research interests include hyperspectral remote sensing.View more
Author image of Yi Cen
State Key Laboratory of Remote Sensing Science, Chinese Academy of Sciences, Institute of Remote Sensing and Digital Earth, Beijing, China
Yi Cen received the Ph.D. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China, in 2008.
Currently, she is a Postdoctoral Researcher in Remote Sensing with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China. Her research interests include hyperspectral remote sensing application, emphasis on environmental monitoring, carbon circle, and greenhouse gases.
Yi Cen received the Ph.D. degree in photogrammetry and remote sensing from the State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, Wuhan, China, in 2008.
Currently, she is a Postdoctoral Researcher in Remote Sensing with the Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, China. Her research interests include hyperspectral remote sensing application, emphasis on environmental monitoring, carbon circle, and greenhouse gases.View more
Author image of Yi Guo
Commonwealth Science and Industry Organization (CSIRO), Digital Productivity and Services Flagship, North Ryde, NSW, Australia
Yi Guo received the B.E. degree in electrical engineering from North China University of Technology, Beijing, China, in 1998, and the Ph.D. degree from the University of New England, Armidale, Australia, in 2008.
Since 2008, he has been a Research Scientist with Commonwealth Science and Industry Organization (CSIRO), Sydney, Australia. His research interests include machine learning and computational statistics for big data.
Yi Guo received the B.E. degree in electrical engineering from North China University of Technology, Beijing, China, in 1998, and the Ph.D. degree from the University of New England, Armidale, Australia, in 2008.
Since 2008, he has been a Research Scientist with Commonwealth Science and Industry Organization (CSIRO), Sydney, Australia. His research interests include machine learning and computational statistics for big data.View more
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