气候变化领域集成服务门户(CCPortal): An adaptive atmospheric correction algorithm for the effective adjacency effect correction of submeter-scale spatial resolution optical satellite images: Application to a WorldView-3 panchromatic image

CCPortal

DOI	10.1016/j.rse.2021.112412
	An adaptive atmospheric correction algorithm for the effective adjacency effect correction of submeter-scale spatial resolution optical satellite images: Application to a WorldView-3 panchromatic image
	Wang T.; Du L.; Yi W.; Hong J.; Zhang L.; Zheng J.; Li C.; Ma X.; Zhang D.; Fang W.; Huang H.; Wang A.; Song B.; Zhou N.; Ti R.; Li K.; Cui W.
发表日期	2021
ISSN	00344257
卷号	259
英文摘要	The adjacency effect can blur and reduce the contrast of satellite images. For low visibility, the adjacency effect has a crucial impact on submeter-scale spatial resolution optical (SM) satellite images. Therefore, SM satellite images are preprocessed with an atmospheric correction before performing visual interpretation and quantitative research. This atmospheric correction includes the adjacency effect (expressed by the average background reflectance, ABR) correction and atmospheric intrinsic reflectance correction. ABR is related to the spatial distance from the central pixel to its surrounding pixels (SDCS) and is affected by the reflectance difference between the central pixel and its surrounding pixels (RDCS). Existing methods to calculate ABR do not include the effect of RDCS. Therefore, in this study, we use equivalent average background reflectance (EABR) instead of ABR used in the 6S model. EABR considers the effects of the strengths of the aerosol optical depth (AOD), SDCS, and RDCS on the adjacency effect. Compared with ABR, EABR can better represent the adjacency effect in an SM satellite image. We develop an adaptive atmospheric correction algorithm (called adaptive-AC) based on EABR. The adaptive characteristic of adaptive-AC is that it can adjust the contribution factor (or weighted value) of the background pixel to the adjacency effect according to the SDCS and RDCS. The application of adaptive-AC to a panchromatic band image of WorldView-3 (WV-3) reveals that adaptive-AC can significantly improve image quality, with the reflectance of pixels in the corrected image processed by adaptive-AC being close to the actual reflectance. Comparison with the results of the atmospheric correction algorithm in the 6S model (6S-AC) indicates that adaptive-AC is more suitable for SM satellite image preprocessing than 6S-AC approaches. There is no clear theory or formula available to calculate the exact value of the adjacency effect range (Rad). Therefore, different Rad values are used in applying the adaptive-AC and 6S-AC. The results show that the larger is the Rad used to construct the adjacency effect model, the more satisfactory is the atmospheric correction. © 2021 Hefei Institutes of Physical Science, Chinese Academy of Sciences
英文关键词	Adaptive atmospheric correction; Adjacency effect; Equivalent average background reflectance; GF-2; Reflectance difference; Spatial distance; Submeter-scale satellite image; WorldView-3
语种	英语
scopus关键词	Image enhancement; Image resolution; Pixels; Reflection; Adaptive atmospheric correction; Adjacency effect; Atmospheric correction algorithm; Equivalent average background reflectance; GF-2; Reflectance differences; Satellite images; Spatial distance; Submeter-scale satellite image; Worldview-3; Satellites; algorithm; atmospheric correction; panchromatic image; pixel; satellite imagery
来源期刊	Remote Sensing of Environment
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/178868
作者单位	Key Laboratory of General Optical Calibration and Characterization Technology, Chinese Academy of Sciences, Hefei Institutes of Physical Science, Chinese Academy of Sciences, Hefei, 230031, China; University of Science and Technology of China, Hefei, 230026, China; Department of Physics, University of Maryland, Baltimore County, MD 21250, United States; Key Laboratory of Electronics and Information Technology for Space Systems, National Space Science Center, Chinese Academy of Sciences, Beijing, 100190, China; State Environmental Protection Key Laboratory of Satellite Remote Sensing, Institute of Remote Sensing and Digital Earth, Chinese Academy of Sciences, Beijing, 100101, China
推荐引用方式 GB/T 7714	Wang T.,Du L.,Yi W.,et al. An adaptive atmospheric correction algorithm for the effective adjacency effect correction of submeter-scale spatial resolution optical satellite images: Application to a WorldView-3 panchromatic image[J],2021,259.
APA	Wang T..,Du L..,Yi W..,Hong J..,Zhang L..,...&Cui W..(2021).An adaptive atmospheric correction algorithm for the effective adjacency effect correction of submeter-scale spatial resolution optical satellite images: Application to a WorldView-3 panchromatic image.Remote Sensing of Environment,259.
MLA	Wang T.,et al."An adaptive atmospheric correction algorithm for the effective adjacency effect correction of submeter-scale spatial resolution optical satellite images: Application to a WorldView-3 panchromatic image".Remote Sensing of Environment 259(2021).