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Recurrent Network for the Detection of Salient Structures in Remote Sensed Images

Abstract : This paper defines the perceptive phenomenon behind the identification of salient linear structure and establishes the reasons for using Gestalt laws to find spatial relation factors. The recurrent model is presented and the initialization of the cells and the links is explained. An example of the processing on an aerial photography is given.
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https://hal-univ-pau.archives-ouvertes.fr/hal-01912362
Contributor : Julien Rabaud <>
Submitted on : Monday, November 5, 2018 - 1:14:43 PM
Last modification on : Tuesday, February 5, 2019 - 12:12:42 PM

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  • HAL Id : hal-01912362, version 1

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Mauro Gaio, Jacques Madelaine. Recurrent Network for the Detection of Salient Structures in Remote Sensed Images. IEEE International Conference on Neural Networks - Conference Proceedings, Jun 1994, Orlando, United States. pp.1658-1661. ⟨hal-01912362⟩

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