Title :
Coastal line feature extraction method for optic remote sensing images: a threshold-based morphological approach
Author :
Jishuang, Qu ; Chao, Wang ; Zhengzhi, Wang
Author_Institution :
Inst. of Remote Sensing Applications, Acad. Sinica, Beijing, China
Abstract :
Coastal line is a simple but important type of feature in remote sensed images. There have been many valid approaches used to automatically identify this feature, of which the accuracy and speed is the most important. This paper proposes a threshold-based morphological approach for extraction of coastal line feature in remote sensing images, and the key step is to process the isolated regions. At last, an experiment and result validate the proposed method to be an extractive approach for its accurately determining the coastal line in a large size remote sensed image.
Keywords :
feature extraction; geophysical signal processing; geophysical techniques; hydrological techniques; oceanographic techniques; remote sensing; terrain mapping; coast; coastline; feature extraction; geophysical measurement technique; hydrology; image processing; lake; land surface; morphological approach; ocean; optical imaging; remote sensing; shoreline; terrain mapping; threshold; Computerized monitoring; Data mining; Feature extraction; Light scattering; Optical scattering; Optical sensors; Remote monitoring; Remote sensing; Sea measurements; Vegetation mapping;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2002. IGARSS '02. 2002 IEEE International
Print_ISBN :
0-7803-7536-X
DOI :
10.1109/IGARSS.2002.1027202