An automatic technique for detecting land-cover transitions

Author

Serpico, S.B. ; Bruzzone, L. ; Roli, F. ; Gomarasca, M.A.

Author_Institution

Dept. of Biophys. & Electron. Eng., Genoa Univ., Italy

Volume

2

fYear

1996

fDate

27-31 May 1996

Firstpage

1382

Abstract

In this paper, detection of land-cover/land-use transitions by using multitemporal remote-sensing images is addressed. An iterative approach based on a compound classification of multitemporal images is proposed, in particular, a technique to estimate iteratively the probabilities of transitions among classes is presented. The effectiveness of the proposed approach is confirmed by experimental results carried out on multitemporal remote-sensing images acquired by the Thematic Mapper of Landsat over an agricultural area

Keywords

geophysical signal processing; geophysical techniques; image classification; image sequences; iterative methods; remote sensing; Thematic Mapper; agricultural area; automatic technique; geophysical measurement technique; image classification; image sequence; iterative approach; land surface change detection; land-cover transition; land-use transitions; multispectral remote sensing; multitemporal remote-sensing image; terrain mapping; Earth; Image analysis; Iterative methods; Multispectral imaging; Neural networks; Pixel; Remote monitoring; Remote sensing; Satellites; Training data;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium, 1996. IGARSS '96. 'Remote Sensing for a Sustainable Future.', International

Conference_Location

Lincoln, NE

Print_ISBN

0-7803-3068-4

Type

conf

DOI

10.1109/IGARSS.1996.516670

Filename

516670