Cropland detection with SAR interferometry: a segmentation model

Author

Huot, Etienne G. ; Herlin, Isabelle L.

Author_Institution

Inst. Nat. de Recherche en Inf. et Autom., Le Chesnay, France

Volume

5

fYear

1998

Firstpage

2733

Abstract

Repeat-pass SAR interferometric data are multitemporal and display changes occurring between two acquisitions. As a consequence, phase and correlation images contains meaningful information that are usable for cropland monitoring. This paper proposes a statistical model to segment high phasimetric structures. It is expressed in a Markov random field framework by using cooperatively phase and correlation information

Keywords

Markov processes; agriculture; correlation methods; image segmentation; radar imaging; radiowave interferometry; remote sensing by radar; statistical analysis; synthetic aperture radar; Markov random field; SAR interferometry; correlation image; correlation information; cropland detection; cropland monitoring; high phasimetric structures; multitemporal data; phase image; phase information; repeat-pass SAR interferometric data; segmentation model; statistical model; Data processing; Displays; Image segmentation; Interferometry; Monitoring; Phase detection; Phase measurement; Radar imaging; Radar signal processing; Random variables;

fLanguage

English

Publisher

ieee

Conference_Titel

Acoustics, Speech and Signal Processing, 1998. Proceedings of the 1998 IEEE International Conference on

Conference_Location

Seattle, WA

ISSN

1520-6149

Print_ISBN

0-7803-4428-6

Type

conf

DOI

10.1109/ICASSP.1998.678088

Filename

678088