A study on Segmentation of Remote Sensed Image using Self-Organization Map

碩士 === 國立中興大學 === 資訊科學系所 === 94 === An image segmentation system based on neural network is proposed for the segmentation of the color and remotely sensed images. This system is facilitated by Kohonen self-organizing map (SOM), it performs the unsupervised segmentation. In the input layer, traditio...

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Bibliographic Details
Main Authors: Shih-Chun Fan-Chiang, 范姜士均
Other Authors: 吳俊霖
Format: Others
Language:en_US
Published: 2006
Online Access:http://ndltd.ncl.edu.tw/handle/48251081404710636681