A shape-based object recognition for remote sensing

Author

Iisaka, Joji ; Sakurai-Amano, Takako

Author_Institution

Canada Centre for Remote Sensing, Ottawa, Ont., Canada

Volume

1

fYear

34881

fDate

10-14 Jul1995

Firstpage

160

Abstract

A robust method to describe any shape which is observed in remote sensing images has been developed. In this method, an object is expanded in a series of pattern primitives or structural elements of different sizes. The first few expansion coefficients of a small number of different primitive expansion sets reasonably approximate the shape of an object in remotely sensed data in terms of shape differences. The method has been applied to a transformed JERS-1 SAR image

Keywords

feature extraction; geophysical signal processing; geophysical techniques; image recognition; object recognition; optical information processing; radar applications; radar imaging; remote sensing; remote sensing by radar; spaceborne radar; synthetic aperture radar; JERS-1 SAR image; feature extraction; geophysical measurement technique; image processing; land surface; otical imaging; pattern primitive; pattern recognition; radar imaging; radar remote sensing; remote sensing image; robust method; shape-based object recognition; synthetic aperture radar; terrain mapping; Anisotropic magnetoresistance; Cities and towns; Digital images; Filters; Object recognition; Oceans; Pixel; Remote sensing; Shape; Urban areas;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International

Conference_Location

Firenze

Print_ISBN

0-7803-2567-2

Type

conf

DOI

10.1109/IGARSS.1995.519677

Filename

519677