KNOWLEDGE-BASED IMAGE ANALYSIS OF LANDSAT DATA: HOW TO EXTRACT AND HOW TO DESCRIBE WATER INFORMATION.

Rin ichiro Taniguchi, Eiji Kawaguchi

Research output: Chapter in Book/Report/Conference proceedingConference contribution

1 Citation (Scopus)

Abstract

A knowledge-based image analysis system for Landsat TM data, called ELIA, is presented. Topics considered include: how to extract water systems, such as coastlines and river networks, from Landsat TM data and how to represent the extracted information in a form that is convenient for further processing. The extraction process consists of two subprocesses: primary and secondary extraction. During the first phase the system detects relatively large-scale water regions. Later, narrow rivers can be detected by further analysis of the results. The extracted information is described in a graph. Experimental results of the river-finding process are shown.

Original languageEnglish
Title of host publicationProceedings - International Conference on Pattern Recognition
PublisherIEEE
Pages1236-1239
Number of pages4
ISBN (Print)0818607424
Publication statusPublished - 1986

Publication series

NameProceedings - International Conference on Pattern Recognition

All Science Journal Classification (ASJC) codes

  • Computer Vision and Pattern Recognition

Fingerprint Dive into the research topics of 'KNOWLEDGE-BASED IMAGE ANALYSIS OF LANDSAT DATA: HOW TO EXTRACT AND HOW TO DESCRIBE WATER INFORMATION.'. Together they form a unique fingerprint.

  • Cite this

    Taniguchi, R. I., & Kawaguchi, E. (1986). KNOWLEDGE-BASED IMAGE ANALYSIS OF LANDSAT DATA: HOW TO EXTRACT AND HOW TO DESCRIBE WATER INFORMATION. In Proceedings - International Conference on Pattern Recognition (pp. 1236-1239). (Proceedings - International Conference on Pattern Recognition). IEEE.