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Remote sensing for resources development and environmental management (Volume 1)

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CC BY: Attribution 4.0 International. You can find more information here.

Bibliographic data

fullscreen: Remote sensing for resources development and environmental management (Volume 1)

Multivolume work

Persistent identifier:
856342815
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856342815
Language:
English
Additional Notes:
Volume 1-3 erschienen von 1986-1988
Editor:
Damen, M. C. J.
Document type:
Multivolume work

Volume

Persistent identifier:
856343064
Title:
Remote sensing for resources development and environmental management
Sub title:
proceedings of the 7th international Symposium, Enschede, 25 - 29 August 1986
Scope:
XV, 547 Seiten
Year of publication:
1986
Place of publication:
Rotterdam
Boston
Publisher of the original:
A. A. Balkema
Identifier (digital):
856343064
Illustration:
Illustrationen, Diagramme
Signature of the source:
ZS 312(26,7,1)
Language:
English
Usage licence:
Attribution 4.0 International (CC BY 4.0)
Editor:
Damen, M. C. J.
Publisher of the digital copy:
Technische Informationsbibliothek Hannover
Place of publication of the digital copy:
Hannover
Year of publication of the original:
2016
Document type:
Volume
Collection:
Earth sciences

Chapter

Title:
2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
Document type:
Multivolume work
Structure type:
Chapter

Chapter

Title:
Digital elevation modeling with stereo SIR-B image data. R. Simard, F. Plourde & T. Toutin
Document type:
Multivolume work
Structure type:
Chapter

Contents

Table of contents

  • Remote sensing for resources development and environmental management
  • Remote sensing for resources development and environmental management (Volume 1)
  • Cover
  • Title page
  • Title page
  • Title page
  • Preface
  • Organization of the Symposium
  • Working Groups
  • Table of contents
  • 1 Visible and infrared data. Chairman: F. Quiel, Liaison: N J. Mulder
  • 2 Microwave data. Chairman: N. Lannelongue, Liaison: L. Krul
  • Spatial feature extraction from radar imagery. G. Bellavia, J. Elgy
  • Synthetic geological map obtained by remote sensing An application to Palawan Island. F. Bénard & C. Muller
  • The determination of optimum parameters for identification of agricultural crops with airborne SLAR data. P. Binnenkade
  • SLAR as a research tool. G. P. de Loor & P. Hoogeboom
  • Developing tools for digital radar image data evaluation. G. Domik & F. Leberl, J. Raggam
  • Measurements of the backscatter and attenuation properties of forest stands at X-, C- and L-band. D. H. Hoekman
  • Identifying agricultural crops in radar images. P. Hoogeboom
  • Shuttle imaging radar response from sand dunes and subsurface rocks of Alashan Plateau in north-central China. Guo Huadong, G. G. Schaber & C. S. Breed, A. J. Lewis
  • Oil drums as resolution targets for quality control of radar survey data. B. N. Koopmans
  • Detection by side-looking radar of geological structures under thin cover sands in arid areas. B. N. Koopmans
  • Geological analysis of Seasat SAR and SIR-B data in Haiti. Ph. Rebillard, B. Mercier de l'Epinay
  • Digital elevation modeling with stereo SIR-B image data. R. Simard, F. Plourde & T. Toutin
  • EARTHSCAN - A range of remote sensing systems. D. R. Sloggett & C. McGeachy
  • Evaluation of digitally processed Landsat imagery and SIR-A imagery for geological analysis of West Java region, Indonesia. Indroyono Soesilo & Richard A. Hoppin
  • Relating L-band scatterometer data with soil moisture content and roughness. P. J. F. Swart
  • Shuttle Imaging Radar (SIR-A) interpretation of the Kashgar region in western Xinjiang, China. Dirk Werle
  • 3 Spectral signatures of objects. Chairman: G. Guyot, Liaison: N. J. J. Bunnik
  • 4 Renewable resources in rural areas: Vegetation, forestry, agriculture, soil survey, land and water use. Chairman: J. Besenicar, Liaisons: M. Molenaar, Th. A. de Boer
  • Cover

Full text

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Symposium on Remote Sensing for Resources Development and Environmental Management / Enschede / August 1986 
Digital elevation modeling with stereo SIR-B image data 
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Calmus, B. 
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R.Simard 
Canada Centre for Remote Sensing, Ottawa 
F.Plourde & T.Toutin 
DIGIM, Montréal Canada 
ABSTRACT: A stereo SIR-B image data set has been used to produce a digital elevation model (DEM) for a test 
site located in the Mount Shasta area in California. The stereo pair was formed with images acquired at 53 
and 29 degree incidence angles, both on the same side. A digital method has been developed for the extraction 
of differential parallaxes which relies mainly on a hierarchical nested zoomed correlation procedure. The 
efficiency of the proposed method for automatic production of DEM is investigated in relation to terrain and 
SAR parameters. 
1 INTRODUCTION 
The possibility of deriving elevation data from 
stereoscopic radar images has been investigated in 
the past mainly in relation to geometry 
information necessary for adequate terrain 
modeling (Leberl et al, 1985; Derenyi and Stuart, 
1984) . It has been shown that radargrammetry 
offers possibilities for accurate terrain mapping 
under certain conditions, but it is generally more 
difficult to achieve, compared to traditional 
photogrammetry, due primarly to the inherent 
geometric and radiometric characteristics of radar 
images especially those derived from aircraft 
systems. To date the question has been addressed 
using analog or hybrid analog/digital plotter 
equipment requiring film products and operator 
visual interaction. 
The second Shuttle Imaging Radar (SIR-B) 
experiment offered for the first time the 
possibility to investigate the use of digital 
techniques for terrain modeling with spaceborne 
multi-incidence angle and digital L-band 
(synthetic aperture radar) SAR images (the SIR-B 
Science...,1984). The present research paper 
concerns results on the evaluation of a method 
developed at the Canada Centre for Remote Sensing 
for production of digital elevation models from 
SIR-B data. The method had been primarily 
developed for processing visible/infrared (VIS/IR) 
imagery such as that from LANDSAT or SPOT 
satellites (Simard and Krishna, 1983; Simard, 
1982) but has been refined in order to effectively 
account for geometic and radiometric differences 
between VIS/IR and SAR images. A test site was 
selected in the rugged topographic area of Mt. 
Shasta in California (lat/long » 41° 53'N/122° 
52'W) where elevations range approximately from 
500 to 2200 metres above sea level. The Mt. 
Shasta site is also very well known from the 
production of a SIR-B perspective view movie 
presented at the JPL SIR-B Workshop (Kobrlck, 
1985) . 
SIR-B image data acquired in October 1984 at the 
two incidence angles of 29 and 53 degrees were 
investigated for automatic DEM production. 
Basically, the overall process was divided into 
four main steps: geometric and radiometric 
preprocessing, automatic stereo image matching, 
three-dimensional modeling (ray intersection) and 
orthographic DEM/SIR-B image production. Precise 
image correction and geometric modeling have been 
made possible by using few ground control points, 
(GCPs) digitized from 1:62500 scale topographical 
maps, together with post flight ephemeris data 
(OPS onorbit postflight...,1983) sampled every 10 
seconds. 
2 GEOMETRIC AND RADIOMETRIC PREPROCESSING 
The SIR-B image data were digitally processed at 
JPL (Curlander, 1984; the SIR-B science...,1984) 
with a four look 12.5 metre pixel size (in ground 
range representation). However in order to smooth 
the image statistics, the input images were 
averaged to square 25 metre pixels using a 2 x 2 
adjacent cell. 
The geometric rectification of raw imagery has 
been done by using external parameters including 
GCPs and shuttle orbital parameters defined by 
position and velocity vectors. The rectification 
procedure consisted of moulding the imagery to a 
quasi-cartographic projection leaving uncorrected 
the parallax effect only. By this mean, both 29 
and 53 degree incidence angle images were 
s 
\ I 
o 
Figure 1. SIR-B range viewing geometry.
	        

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Damen, M. .C. .J. Remote Sensing for Resources Development and Environmental Management. A. A. Balkema, 1986.
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