Open AccessSurface Water Information Extraction Based on High-Resolution Image
Author(s) -
Yuequn Lai,
Jing Zhang,
Yongyu Song
Publication year - 2019
Publication title -
iop conference series. earth and environmental science
Language(s) - English
Resource type - Journals
eISSN - 1755-1307
pISSN - 1755-1315
DOI - 10.1088/1755-1315/330/3/032013
Subject(s) - information extraction , remote sensing , interpretation (philosophy) , computer science , image (mathematics) , extraction (chemistry) , computer vision , resolution (logic) , artificial intelligence , high resolution , earth observation , satellite , information retrieval , data mining , geology , engineering , chemistry , chromatography , aerospace engineering , programming language
Remote sensing image is an important information source for fast acquisition of information on the earth’s surface. The extraction of high-resolution satellite remote sensing image information has also gradually increased. Based on high resolution image, this paper discusses its main characteristics, current research progress, main interpretation methods and similarities and differences with traditional interpretation methods, and further research is discussed. An example of surface water information extraction for Miyun Reservoir, China based on Landsat-7 image is preliminary explored. It provides a good reference for choosing different interpretation methods for different research purposes or situations.