DocumentCode
291800
Title
A new approach in remote sensing image analysis for natural environment cartography
Author
Borne, F. ; Guillobez, Serge
Author_Institution
CIRAD-GERDAT, Montpellier, France
Volume
3
fYear
1994
fDate
8-12 Aug 1994
Firstpage
1805
Abstract
With numerical data from Earth survey satellites, it is possible to build a cartographic outline with computer analysis. The proposed approach first consists in computing a classified image (directed or semi-directed). Then this image is interactively treated with “Papri” software, which gives an ordering in landscape units, and a new image close to a map. The creation of the cartographic result occurs after vectorization, i.e. transformation of matrix coordinates into a “vector” format. In this format, small polygons and arcs not corresponding to natural units boundaries, are suppressed. The final document is more satisfactory, and is comparable with a map. The operation may be renewed inside big landscape units in order to improve the cartography, in a general-to-particular approach. Results are compared to a visual interpretation of the image
Keywords
cartography; computer graphics; geophysical signal processing; geophysical techniques; geophysics computing; remote sensing; Papri; arcs; cartography; classified image; geophysical computing; geophysical measurement technique; image analysis; image classification; land surface; landscape unit; map construction; matrix coordinates; natural environment cartography; optical imaging; polygons; remote sensing; software; terrain mapping; transformation; vector format; vectorization; Data mining; Earth; Geographic Information Systems; Geology; Image analysis; Image texture; Image texture analysis; Pixel; Remote sensing; Satellites;
fLanguage
English
Publisher
ieee
Conference_Titel
Geoscience and Remote Sensing Symposium, 1994. IGARSS '94. Surface and Atmospheric Remote Sensing: Technologies, Data Analysis and Interpretation., International
Conference_Location
Pasadena, CA
Print_ISBN
0-7803-1497-2
Type
conf
DOI
10.1109/IGARSS.1994.399571
Filename
399571
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