气候变化领域集成服务门户(CCPortal): Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery

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DOI	10.1016/j.rse.2020.111707
	Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery
	Zheng Q.; Weng Q.; Wang K.
发表日期	2020
ISSN	00344257
卷号	240
英文摘要	In the last two decades, the advance in nighttime light (NTL) remote sensing has fueled a surge in extensive research towards mapping human footprints. Nevertheless, the full potential of NTL data is largely constrained by the blooming effect. In this study, we propose a new concept, the Pixel Blooming Effect (PiBE), to delineate the mutual influence of lights from a pixel and its neighbors, and an integrated framework to eliminate the PiBE in radiance calibrated DMSP-OLS datasets (DMSPgrc). First, lights from isolated gas flaring sources and a Gaussian model were used to model how the PiBE functions on each pixel through point spread function (PSF). Second, a two-stage deblurring approach (TSDA) was developed to deconvolve DMSPgrc images with Tikhonov regularization to correct the PiBE and reconstruct PiBE-free images. Third, the proposed framework was assessed by synthetic data and VIIRS imagery and by testing the resulting image with two applications. We found that high impervious surface fraction pixels (ISF > 0.6) were impacted by the highest absolute magnitude of PiBE, whereas NTL pattern of low ISF pixels (ISF < 0.2) was more sensitive to the PiBE. By using TSDA the PiBE in DMSPgrc images was effectively corrected which enhanced data variation and suppressed pseudo lights from non-built-up pixels in urban areas. The reconstructed image had the highest similarity to reference data from synthetic image (SSIM = 0.759) and VIIRS image (r = 0.79). TSDA showed an acceptable performance for linear objects (width > 1.5 km) and circular objects (radius > 0.5 km), and for NTL data with different noise levels (<0.6σ). In summary, the proposed framework offers a new opportunity to improve the quality of DMSP-OLS images and subsequently will be conducive to NTL-based applications, such as mapping urban extent, estimating socioeconomic variables, and exploring eco-impact of artificial lights. © 2020 Elsevier Inc.
英文关键词	DMSP-OLS; Nighttime light imagery; Pixel Blooming Effect; Point spread function; Urban areas
语种	英语
scopus关键词	Image reconstruction; Mapping; Optical transfer function; Pixels; Remote sensing; Acceptable performance; Blooming effects; Dmsp-ols; Integrated frameworks; Night-time lights; Reconstructed image; Tikhonov regularization; Urban areas; Image enhancement; pixel; remote sensing; satellite data; satellite imagery; VIIRS
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/179401
作者单位	Center for Urban and Environmental Change, Department of Earth and Environmental Systems, Indiana State University, Terre Haute, IN 47809, United States; Institute of Applied Remote Sensing and Information Technology, College of Environmental and Resource Sciences, Zhejiang University, Zhejiang, Hangzhou 310058, China
推荐引用方式 GB/T 7714	Zheng Q.,Weng Q.,Wang K.. Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery[J],2020,240.
APA	Zheng Q.,Weng Q.,&Wang K..(2020).Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery.Remote Sensing of Environment,240.
MLA	Zheng Q.,et al."Correcting the Pixel Blooming Effect (PiBE) of DMSP-OLS nighttime light imagery".Remote Sensing of Environment 240(2020).