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LMedS-Based Power Regression: An Optimal and Automatic Method of Radiometric Intercalibration for DMSP-OLS NTL Imagery

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成果类型:
期刊论文
作者:
Li, Chang*;Li, Xi;Li, Tian;Meng, Qi;Yu, Wenjie
通讯作者:
Li, Chang
作者机构:
[Li, Chang] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Analyzing & Modeling, Wuhan 430079, Peoples R China.
[Li, Xi] Wuhan Univ, State Key Lab Informat Engn Surveying Mapping & R, Wuhan 430072, Peoples R China.
[Li, Tian] Johns Hopkins Univ, Baltimore, MD 21218 USA.
[Yu, Wenjie; Meng, Qi] Cent China Normal Univ, Coll Urban & Environm Sci, Wuhan 430079, Peoples R China.
通讯机构:
[Li, Chang] C
Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Analyzing & Modeling, Wuhan 430079, Peoples R China.
语种:
英文
关键词:
Calibration;Radiometry;Mathematical model;Automation;Taylor series;Analytical models;Linear regression;Accuracy;adjusted root-mean-square error (RMSE);automation;defense meteorological satellite program operational linescan system (DMSP-OLS) night-time light (NTL) imagery;least median of squares (LMedS)-based power regression (LBPR);radiometric intercalibration
期刊:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
ISSN:
1939-1404
年:
2021
卷:
14
页码:
2046-2057
基金类别:
Manuscript received October 2, 2020; revised December 23, 2020 and January 7, 2021; accepted January 11, 2021. Date of publication January 14, 2021; date of current version February 3, 2021. This work was supported in part by the National Key R&D Program of China under Grant 2019YFE0126800, in part by the National Natural Science Foundation of China under Grant 41771493 and Grant 41101407, in part by the Wuhan Youth Science and Technology Plan under Grant 2016070204010137, and in part by the self-determined research funds of CCNU from the basic research and operation of the MOE under Grant CCNU19TS002. (Corresponding author: Chang Li.) Chang Li is with the Key Laboratory for Geographical Process Analyzing and Modeling, College of Urban and Environmental Science, Central China Normal University, Wuhan 430079, China (e-mail: lcshaka@126.com).
机构署名:
本校为第一且通讯机构
院系归属:
城市与环境科学学院
摘要:
The further scientific applications of DMSP-OLS night-time light (NTL) imagery have been being limited by the accuracy, automation, and speed of radiometric intercalibration. In order to solve the aforementioned problems, this article is the first to propose a new least-median-of-squares (LMedS)-based power regression (LBPR) for automatically radiometric intercalibration and investigate the reasons for the optimal model of radiometric intercalibration, especially those based on the Taylor expansion and probability principle. NTL data in six regions all over the world, from 1994 and 1997 to 200...

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