Robust boundary extraction of great lakes by blocking Active Contour Model using Chinese GF‐3 SAR data: a case study of Danjiangkou reservoir, China

Autor: Yuexiu Guo, Jianhui Zhao, Shilin Niu, Robert Wang, Wu Lin, Zhengwei Guo, Ning Li
Rok vydání: 2019
Předmět:
Synthetic aperture radar
Feature extraction
Energy Engineering and Power Technology
Boundary (topology)
Soil science
reservoirs
water resources
Blocking (statistics)
water quality
initial boundary
artificial freshwater lake
Radar imaging
lakes
multipolarisation synthetic aperture radar mission
chinese gaofen-3 satellite
Extraction (military)
remote sensing by radar
active contour model
China
image segmentation
robust boundary extraction
Active contour model
feature extraction
final water boundary
General Engineering
radar imaging
geophysical image processing
danjiangkou reservoir
gf-3 satellite
lcsh:TA1-2040
high-resolution sar image products
chinese gf-3 sar data
water boundary extraction
hydrological techniques
south-to-north water diversion project
lcsh:Engineering (General). Civil engineering (General)
Software
Geology
synthetic aperture radar
water source
Zdroj: The Journal of Engineering (2019)
ISSN: 2051-3305
Popis: Chinese Gaofen-3 (GF-3) satellite is a spaceborne multi-polarisation synthetic aperture radar (SAR) mission in C-band and it can be applied in the multiple fields. GF-3 can achieve accurate water boundary extraction based on its high-resolution SAR image products. This paper will study GF-3's capability to extract water boundary. Danjiangkou reservoir, the largest artificial freshwater lake in Asia and water source of Chinese South-to-North Water Diversion Project, is selected as the study region. A novel segmentation method is proposed which consists of two parts: the first part is rough segmentation to get the initial boundary; the second part is fine segmentation to get the final water boundary. Experimental results show that GF-3 has good performance in water boundary exaction by virtue of this novel method.
Databáze: OpenAIRE
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