A comparison of four segmentation algorithms in the context of agricultural remote sensing-Reference-Cited by-同舟云学术

A comparison of four segmentation algorithms in the context of agricultural remote sensing

Published:1989-09 Issue:1 Volume:44 Page:1-13
ISSN:0924-2716
Container-title:ISPRS Journal of Photogrammetry and Remote Sensing
language:en
Short-container-title:ISPRS Journal of Photogrammetry and Remote Sensing

Author:

Bénié Goze Bertin,Thomson Keith P.B.,Goldberg Morris

Publisher

Elsevier BV

Subject

Computers in Earth Sciences,Computer Science Applications,Engineering (miscellaneous),Atomic and Molecular Physics, and Optics

Reference19 articles.

1. Hierarchical picture segmentation by step-wise optimization;Beaulieu,1984

2. Segmentation d'images de hautes limites de résolution pour fin d'inventaire agricole au Canada: Adaptation et développement d'algorithmes;Bénié,1986

3. Applications de la Segmentation d'Images à l'Agriculture: Extraction de Parcelles Agricoles Basée sur le Contexte;Bénié;Can. J. Remote-Sensing,1987

4. Rapessed: Guidelines for Operational Monitoring;Brown,1980

5. Analyse structurale diachronique d'images de Télédétection. Applications aux classifications;Cals,1984

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2. Improving the Accuracy of Synthetic Aperture Radar Analysis for Agricultural Crop Classification;Canadian Journal of Remote Sensing;1995-06

3. Literature review of artificial neural networks and knowledge-based systems for image analysis and interpretation of data in remote sensing;Canadian Journal of Electrical and Computer Engineering;1994-04

4. Hierarchical image segmentation using local and adaptive similarity rules;International Journal of Remote Sensing;1992-05-01