会议论文

Jia, Li

英文

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)

2153-6996

2019

7467-7470

IEEE International Geoscience and Remote Sensing Symposium (IGARSS)

IEEE International Symposium on Geoscience and Remote Sensing IGARSS

JUL 28-AUG 02, 2019

Yokohama, JAPAN

[Yuan, Xiaotian;Jia, Li;Menenti, Massimo;Chen, Qiting] Chinese Acad Sci, Inst Remote Sensing & Digital Earth, Beijing, Peoples R China.^[Yuan, Xiaotian] Univ Chinese Acad Sci, Beijing, Peoples R China.^[Zhou, Jie] Cent China Normal Univ, Coll Urban & Environm Sci, Key Lab Geog Proc Anal & Simulat Hubei Prov, Wuhan, Peoples R China.^[Zhou, Jie;Menenti, Massimo] Delft Univ Technol, Delft, Netherlands.

Inst Elect & Elect Engineers, Inst Elect & Elect Engineers, Geoscience & Remote Sensing Soc

345 E 47TH ST, NEW YORK, NY 10017 USA

IEEE

978-1-5386-9154-0

National Natural Science Foundation of ChinaNational Natural Science Foundation of China (NSFC) [41661144022]; Strategic Priority Research Program of the Chinese Academy of SciencesChinese Academy of Sciences [XDA19030203]; SAFEA Long-Term-Projects of the 1000 Talent Plan for High-Level Foreign Experts [WQ20141100224]

本校为其他机构

The monthly nighttime light data observed by the Visible Infrared Imaging Radiometer Suite (VIIRS) sensor onboard the National Polar-orbiting Partnership (NPP) satellite are useful to assess human activities. However, noise in the VIIRS data and unstable power supply in many areas often limit its application in detecting anthropic activities. This study aims to develop a new method (i.e., Patches Denoising Method, PDM) to remove noise in the VIIRS monthly nighttime light data towards better information on anthropic activities. The new synthesized data were examined in the Sahel region where th...