Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera

doi:10.1109/LGRS.2018.2877728

	Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera
	Lin, Jiayuan 1; Zuo, Hang 2; Ye, Yaya 3; Liao, Xiaohan 4
刊名	IEEE GEOSCIENCE AND REMOTE SENSING LETTERS
	2019-04-01
卷号	16 期号:4 页码:648-652
关键词	Agricultural multispectral camera (ADC) lite auto-adaptive filter Fourier spectrum image histogram normalized difference vegetation index (NDVI) stripe noise unmanned aerial vehicles (UAV)
ISSN号	1545-598X
DOI	10.1109/LGRS.2018.2877728
通讯作者	Liao, Xiaohan(liaoxh@igsnrr.ac.cn)
英文摘要	Combinations of unmanned aerial vehicles (UAVs) and multispectral sensors provide low-cost approaches for detailed spatiotemporal vegetation studies. However, the resulting vegetation index images such as normalized difference vegetation index (NDVI) have unignorable stripe noise and seriously disturb the extraction of vegetation information. In this letter, the similar frequency phenomena caused by stripe noise were observed in the gray-scale histogram and the Fourier spectrum of a striped NDVI image. Thus, we tried establishing the empirical quantitative relationship between them, and then designed an autoadaptive filter for stripe noise removal in Fourier spectrum according to the characteristics including the dominant peak and troughs of the histogram curve of the raw NDVI image. Applying this autoadaptive filter to the corresponding Fourier spectrum image, we achieved automatic and effective stripe noise removal without any manual interference. Based on visual judgment and quantitative evaluation, the proposed autoadaptive filter demonstrated by far the better performance in retaining image fidelity and intelligibility than the improved high-pass filter and 2-D Weiner filter.
资助项目	National Key Research and Development Program of China[2017YFB0503005] ; National Natural Science Foundation of China[41771453] ; National Natural Science Foundation of China[41771388]
WOS研究方向	Geochemistry & Geophysics ; Engineering ; Remote Sensing ; Imaging Science & Photographic Technology
语种	英语
出版者	IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
WOS记录号	WOS:000462443300031
资助机构	National Key Research and Development Program of China ; National Natural Science Foundation of China
内容类型	期刊论文
源URL	[http://ir.igsnrr.ac.cn/handle/311030/48577]
专题	中国科学院地理科学与资源研究所
通讯作者	Liao, Xiaohan
作者单位	1.Southwest Univ, Sch Geog Sci, Chongqing Engn Res Ctr Remote Sensing Big Data Ap, Chongqing 400715, Peoples R China 2.Sichuan Univ, Coll Comp Sci, Chengdu 610065, Sichuan, Peoples R China 3.Univ Hong Kong, Fac Engn, Dept Comp Sci, Hong Kong, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing 100101, Peoples R China
推荐引用方式 GB/T 7714	Lin, Jiayuan,Zuo, Hang,Ye, Yaya,et al. Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera[J]. IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,2019,16(4):648-652.
APA	Lin, Jiayuan,Zuo, Hang,Ye, Yaya,&Liao, Xiaohan.(2019).Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera.IEEE GEOSCIENCE AND REMOTE SENSING LETTERS,16(4),648-652.
MLA	Lin, Jiayuan,et al."Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera".IEEE GEOSCIENCE AND REMOTE SENSING LETTERS 16.4(2019):648-652.