发明名称 |
AUTOMATIC RIVER DETECTION SYSTEM AND METHOD USING COMBINATION OF SATELLITE IMAGE AND RANDOM FOREST CLASSIFIER |
摘要 |
According to an automatic river detection system and a method thereof using a combination of a satellite image and a random forest classifier, suggested by the present invention, top of atmosphere (TOA) reflectivity and water index (WI) are extracted, as feature vectors, from multiple spectral images of the satellite image; a plurality of types of random forest classifiers are learned using the TOA reflectivity and the WI, instead of a heuristic threshold or a self-learning method; and a river area is extracted from a test image using the learned classifier such that rivers can be automatically classified more accurately. |
申请公布号 |
WO2016122042(A9) |
申请公布日期 |
2016.10.13 |
申请号 |
WO2015KR01400 |
申请日期 |
2015.02.12 |
申请人 |
INDUSTRY ACADEMIC COOPERATION FOUNDATION KEIMYUNG UNIVERSITY |
发明人 |
KO, Byoung Chul;KIM, Hyeong Hun;NAM, Jae Yeal |
分类号 |
G06T7/00;G06T7/20 |
主分类号 |
G06T7/00 |
代理机构 |
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代理人 |
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主权项 |
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地址 |
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