DocumentCode
288525
Title
Recurrent network for the detection of salient structures in remote sensed images
Author
Gaio, Mauro ; Madelaine, Jacques
Author_Institution
LAIAC, Caen Univ., France
Volume
3
fYear
1994
fDate
27 Jun-2 Jul 1994
Firstpage
1658
Abstract
The paper defines what perceptive phenomenon is behind the human identification of salient linear structures. It then establishes the reasons for using Gestalt laws to find spatial relation factors. The central section presents the recurrent network model and explains the initialization of the cells and the links. Finally an example of the processing on an aerial photography is given and the guidelines of our future research ends the paper
Keywords
image recognition; recurrent neural nets; remote sensing; Gestalt laws; aerial photography; cell initialization; link initialization; perceptive phenomenon; recurrent neural net; remotely sensed images; salient linear structures; salient structure detection; spatial relation factors; Guidelines; Humans; Image segmentation; Intelligent networks; Photography; Remote sensing; Roads; Signal processing; Solids; Visual perception;
fLanguage
English
Publisher
ieee
Conference_Titel
Neural Networks, 1994. IEEE World Congress on Computational Intelligence., 1994 IEEE International Conference on
Conference_Location
Orlando, FL
Print_ISBN
0-7803-1901-X
Type
conf
DOI
10.1109/ICNN.1994.374405
Filename
374405
Link To Document