Title :
A neural network approach to geographic image analysis
Author :
Tchimev, Plamen ; Moritani, Naoya ; Georgiev, Georgi ; Valova, Iren
Author_Institution :
Tokyo Inst. of Technol., Yokohama, Japan
Abstract :
We have developed a method based on the precise pixel-to-pixel matching between two images. This is done by automatic generation of displacement vectors, carrying the information of differences between the two images. For generating a layer of vectors defining the information of displacement we use a neural network with self-learning architecture. The proposed algorithm perform successful mapping, which can be quantitatively measured as 90% correct recognition as demonstrated by the results
Keywords :
geography; image matching; learning (artificial intelligence); neural nets; vectors; automatic generation; displacement vectors; geographic image analysis; image differences; image matching; mapping; neural network; precise pixel-to-pixel matching; recognition; self-learning architecture; Algorithm design and analysis; Degradation; Filtering; Image analysis; Image edge detection; Image generation; Neural networks; Performance evaluation; Pixel; Smoothing methods;
Conference_Titel :
Image Analysis and Interpretation, 2000. Proceedings. 4th IEEE Southwest Symposium
Conference_Location :
Austin, TX
Print_ISBN :
0-7695-0595-3
DOI :
10.1109/IAI.2000.839571
