气候变化领域集成服务门户(CCPortal): A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery

CCPortal

DOI	10.3390/rs10071040
	A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery
	Chen, Shuli; Chen, Xuehong; Chen, Xiang; Chen, Jin; Cao, Xin; Shen, Miaogen; Yang, Wei; Cui, Xihong
通讯作者	Chen, XH (通讯作者)
发表日期	2018
ISSN	2072-4292
卷号	10 期号:7
英文摘要	Cloud removal is a prerequisite for the application of Landsat datasets, as such satellite images are invariably contaminated by clouds. Clouds affect the transmission of radiation signal to different degrees because of their different thicknesses, shapes, heights and distributions. Existing methods utilize pixel replacement to remove thick clouds and pixel correction techniques to rectify thin clouds in order to retain the land surface information in contaminated pixels. However, a major limitation of these methods refers to their deficiency in retrieving land surface reflectance when both thick clouds and thin clouds exist in the images, as the two types of clouds differ in the transmission of radiation signal. As most remotely sensed images show rather complex cloud contamination patterns, an efficient method to alleviate both thin and thick cloud effects is in need of development. To this end, the paper proposes a new method to rectify cloud contamination based on the cloud detection of iterative haze-optimized transformation (IHOT) and the cloud removal of cloud trajectory (IHOT-Trajectory). The cloud trajectory is able to take consideration of signal transmission for different levels of cloud contamination, which characterizes the spectral response of a certain type of land cover under increasing cloud thickness. Specifically, this method consists in four steps. First, the cloud thicknesses of contaminated pixels are estimated by the IHOT. Second, areas affected by cloud shadows are marked. Third, cloud trajectories are fitted with the aid of neighboring similar pixels under different cloud thickness. Last, contaminated areas are rectified according to the relationship between the land surface reflectance and the IHOT. The experimental results indicate that the proposed approach is able to effectively remove both the thin and thick clouds and erase the cloud shadows of Landsat images under different scenarios. In addition, the proposed method was compared with the dark object subtraction (DOS), the modified neighborhood similar pixel interpolator (MNSPI) and the multitemporal dictionary learning (MDL) methods. Quantitative assessments show that the IHOT-Trajectory method is superior to the other cloud removal methods overall. For specific spectral bands, the proposed method performs better than other methods in visible bands, whereas it does not necessarily perform better in infrared bands.
关键词	HAZE-OPTIMIZED TRANSFORMATION SATELLITE IMAGERY COVER ASSESSMENT SHADOW
英文关键词	iterative haze optimized transformation (IHOT); cloud-thickness; trajectory; cloud removal; Landsat imagery
语种	英语
WOS研究方向	Environmental Sciences & Ecology ; Geology ; Remote Sensing ; Imaging Science & Photographic Technology
WOS类目	Environmental Sciences ; Geosciences, Multidisciplinary ; Remote Sensing ; Imaging Science & Photographic Technology
WOS记录号	WOS:000440332500063
来源期刊	REMOTE SENSING
来源机构	中国科学院青藏高原研究所
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/259241
推荐引用方式 GB/T 7714	Chen, Shuli,Chen, Xuehong,Chen, Xiang,et al. A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery[J]. 中国科学院青藏高原研究所,2018,10(7).
APA	Chen, Shuli.,Chen, Xuehong.,Chen, Xiang.,Chen, Jin.,Cao, Xin.,...&Cui, Xihong.(2018).A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery.REMOTE SENSING,10(7).
MLA	Chen, Shuli,et al."A Novel Cloud Removal Method Based on IHOT and the Cloud Trajectories for Landsat Imagery".REMOTE SENSING 10.7(2018).