Analysis of forest regions by SAR and optical images

Author

Komarov, S.A. ; Yevtyushkin, A.V.

Volume

3

fYear

1998

Firstpage

1723

Abstract

This paper presents techniques for automatic analysis forest regions using radar and optical orbital instruments. Input data were the images of Altai regions territories obtained with RESURS-01 MSU-E, RESURS-F1M, SIR-C/L-SAR (total power, HH, HV,VV), and also the NOAA-AVHRR radiometer data. The resolution of SAR images was around 25 m per pixel. The textural and polarization properties of SAR images were used as additional information. The results were supplemented by classification of images MSU-E and RESURS-FIM by synchronous ground measurements

Keywords

forestry; geophysical signal processing; geophysical techniques; image segmentation; radar polarimetry; remote sensing; remote sensing by radar; spaceborne radar; synthetic aperture radar; Altai region; RESURS-01 MSU-E; RESURS-F1M; SAR; SIR-C; automatic analysis; forest; forest region; forestry; geophysical measurement technique; image texture; land surface; optical image; optical imaging; polarization; radar polarimetry; radar remote sensing; spaceborne radar; synthetic aperture radar; terrain mapping; vegetation mapping; Image analysis; Image resolution; Instruments; Laser radar; Neural networks; Optical polarization; Optical scattering; Principal component analysis; Radar imaging; Symmetric matrices;

fLanguage

English

Publisher

ieee

Conference_Titel

Geoscience and Remote Sensing Symposium Proceedings, 1998. IGARSS '98. 1998 IEEE International

Conference_Location

Seattle, WA

Print_ISBN

0-7803-4403-0

Type

conf

DOI

10.1109/IGARSS.1998.692457

Filename

692457