Unidirectional total variation destriping using difference curvature in MODIS emissive bands |
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| Institution: | 1. The State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, Hubei 430079, China;2. Collaborative Innovation Center for Geospatial Technology, 129 Luoyu Road, Wuhan, Hubei 430079, China;3. Key Laboratory of Precision Opto-mechatronics Technology of the Ministry of Education, Beihang University, 37 Xueyuan Road, Haidian District, Beijing 100191, China;1. College of Automation, Harbin Engineering University, Harbin 150001, China;2. Leador Spatial Information Technology Co., Wuhan 430022, China;3. School of Automation Engineering, Northeast Dianli University, Jilin 132012, China;1. Univ Lyon, Université Claude Bernard Lyon 1, CNRS, Institut Lumière Matière, F-69622, LYON, France;2. Institute of Applied Physics, Military University of Technology, 2 Kaliskiego Str., 00-908 Warsaw, Poland;3. Institute of Optoelectronics, Military University of Technology, 2 Kaliskiego Str., 00-908 Warsaw, Poland;1. State Key Laboratory of Information Engineering in Surveying, Mapping and Remote Sensing, Wuhan University, 129 Luoyu Road, Wuhan, Hubei 430079, China;2. Collaborative Innovation Center of Geospatial Technology, Wuhan University, 129 Luoyu Road, Wuhan, Hubei 430079, China |
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| Abstract: | This paper presents a method of unidirectional total variation destriping using difference curvature in MODIS (Moderate Resolution Imaging Spectrometer) emissive bands. First, difference curvature is utilized to extract spatial information at each pixel; and the spatially weighted parameters that constructed by extracted spatial information are incorporated into the unidirectional total variation model to adaptively adjust the destriping strength for achieving a better destriping result and preserving the detail information meantime. Second, the split Bregman iteration method is employed to optimize the proposed model. Finally, experimental results from MODIS emissive bands and comparisons with other methods demonstrate the potential of the presented method for MODIS image destriping. |
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| Keywords: | MODIS Unidirectional total variation Difference curvature Destriping Split Bregman iteration |
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