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

doi:10.1016/j.rse.2021.112412

HFCAS OpenIR

	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, Tao1,2 ; Du, Lili1 ; Yi, Weining 1; Hong, Jin1 ; Zhang, Liming1 ; Zheng, Jianyu 3; Li, Chao 1,2; Ma, Xiaoshan 4; Zhang, Dongying 1; Fang, Wei1 ; Huang, Honglian1 ; Wang, Anjing1 ; Song, Bo 1,2; Zhou, Nan1,2 ; Ti, Rufang1 ; Li, Kaitao 5; Cui, Wenyu1
	2021-06-15
发表期刊	REMOTE SENSING OF ENVIRONMENT
ISSN	0034-4257
通讯作者	Cui, Wenyu(cuiwenyu@aiofm.ac.cn)
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.
关键词	Submeter-scale satellite image Adaptive atmospheric correction Adjacency effect Spatial distance Reflectance difference WorldView-3 GF-2 Equivalent average background reflectance
DOI	10.1016/j.rse.2021.112412
关键词[WOS]	RADIATIVE-TRANSFER MODELS ; SIMULATION ; COASTAL ; MODIS ; CONTRAST
收录类别	SCI
语种	英语
资助项目	China High-Resolution Earth Observation system[30-Y20A010-9007-17/18] ; Natural Science Foundation of China[41601379]
项目资助者	China High-Resolution Earth Observation system ; Natural Science Foundation of China
WOS研究方向	Environmental Sciences & Ecology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000641606300001
出版者	ELSEVIER SCIENCE INC
引用统计	被引频次：13[WOS] [WOS记录] [WOS相关记录]
文献类型	期刊论文
条目标识符	http://ir.hfcas.ac.cn:8080/handle/334002/122433
专题	中国科学院合肥物质科学研究院
通讯作者	Cui, Wenyu
作者单位	1.Chinese Acad Sci, Hefei Inst Phys Sci, Key Lab Gen Opt Calibrat & Characterizat Technol, Hefei 230031, Peoples R China 2.Univ Sci & Technol China, Hefei 230026, Peoples R China 3.Univ Maryland Baltimore Cty, Dept Phys, Baltimore, MD 21250 USA 4.Chinese Acad Sci, Natl Space Sci Ctr, Key Lab Elect & Informat Technol Space Syst, Beijing 100190, Peoples R China 5.Chinese Acad Sci, Inst Remote Sensing & Digital Earth, State Environm Protect Key Lab Satellite Remote S, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Wang, Tao,Du, Lili,Yi, Weining,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]. REMOTE SENSING OF ENVIRONMENT,2021,259.
APA	Wang, Tao.,Du, Lili.,Yi, Weining.,Hong, Jin.,Zhang, Liming.,...&Cui, Wenyu.(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, Tao,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).