Infrastructure analysis from high resolution SAR and InSAR imagery

被引：22

作者：

Bennett, AJ ^{[1
]}

Blacknell, D ^{[1
]}

机构：

[1] QinetiQ Ltd, Malvern WR14 3PS, Worcs, England

来源：

2ND GRSS/ISPRS JOINT WORKSHOP ON REMOTE SENSING AND DATA FUSION OVER URBAN AREAS | 2003年

关键词：

SAR; urban; 3-d InSAR;

D O I：

10.1109/DFUA.2003.1219993

中图分类号：

TP39 [计算机的应用];

学科分类号：

081203 ; 0835 ;

摘要：

In this paper, we present a methodology for the extraction of building dimensions from high resolution SAR and 3-d (InSAR) imagery. For flat and sloping roof buildings we show how differing imaging geometries produce fundamental limitations on the structural information that may be obtained. The procedure is applied to real imagery and initial results are discussed.

引用

页码：230 / 235

页数：6

共 6 条

[1] Target decomposition through polarimetric disjoint Doppler and frequency band (I)SAR images
André, DB
Tham, CL
[J]. RADAR 2002, 2002, (490): : 531 - 535
[2] BICKEL DL, 1997, GEOSCIENCE REMOTE SE, V4, P1545
[3] Bolter R, 2000, AEROSP CONF PROC, P287, DOI 10.1109/AERO.2000.879857
[4] Comparison of C- and X-band InSAR data for 3D characterization of an urban area
Gamba, P
Houshmand, B
[J]. IEEE AEROSPACE AND ELECTRONIC SYSTEMS MAGAZINE, 2002, 17 (06) : 9 - 15
[5] LOMBARDO P, 2001, REM SENS DAT FUS URB, P228
[6] STILLER U, 2001, REM SENS DAT FUS URB, P64

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