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International cooperation and technology transfer

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fullscreen: International cooperation and technology transfer

Monograph

Persistent identifier:: 856489328

Author:: Mussio, Luigi

Title:: International cooperation and technology transfer

Sub title:: Parma, Italy, February 15 - 19, 1999, Bandung, Indonesia, April 13 - 14, 1999, Cotonou, Benin, December 6 - 10, 1999 ; proceedings of the workshops

Scope:: XXX, 398 Seiten

Year of publication:: 1999

Place of publication:: London

Publisher of the original:: RICS Books

Identifier (digital):: 856489328

Illustration:: Illustrationen, Diagramme

Language:: English

Usage licence:: Attribution 4.0 International (CC BY 4.0)

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:: Monograph

Collection:: Earth sciences

Chapter

Title:: INTERFEROMETRIC SAR CALIBRATION. M. Crosetto, B. Crippa.

Document type:: Monograph

Structure type:: Chapter

International cooperation and technology transfer
Cover
ColorChart
Title page
FOREWORD.
Table of Contents.
Compte-rendu of the WG VI/3. Mariano Cunietti Memorial Meeting in Parma. Mojca Kosmatin Fras, WG VI/3 Co - chairperson.
Compte - Rendu of the ISPRS WG VI/3. High Level Tutorial in Bandung. Fahmi Amhar, Tutorial Chairperson.
Compte-rendu of the Wg VI/3. Luigi Solaini 10th Anniversary. Memorial Meeting in Cotonou. Luigi Mussio, WG VI/3 Chairperson.
Opening.
Closure.
Welcome addresses.
Opening.
Closure.
PADUA, BAHIA BLANCA, PERUGIA, PARMA, BANDUNG AND COTONOU, MEETING - LIST OF PARTICIPANTS.
ISPRS WG VI/3 - LIST OF CORRESPONDENTS.
VIRTUAL REALITY (VR) APPLIED TO ENVIRONMENT REPRESENTATIONS: SOME EXAMPLES AT UNIVERSITY OF PADUA (ITALY). V. Achilli, F. Barison, A. Vettore.
SURVEYING METHODOLOGIES IN THE PHLEGREAN VOLCANIC DISTRICT (NAPLES - ITALY). Achilli V., Borgstrom S., Capone M., Del Gaudio C., De Martino P., Klees R., Ricciardi G. P., Ricco C., Sepe V., Usai S., Vettore A.
Integration of GPS and Conventional Surveying For Positioning of The Mobile Phone Antennae in A Local System. Al-Bayari O., Barbarella M., Fazio C..
The Spacewise Approach to the Data Treatment for the SAGE Mission Project. A. Albertella, F. Migliaccio, F. Sansó.
DATA AND METADATA A NEW CONCEPT IN ARCHIVING ARCHITECTURAL DATA. Elena ALBERY, Fulvio RINAUDO.
NOTES ABOUT TOPOGRAPHIC AND PHOTOGRAMMETRIC SURVEYING FOR THE INVESTIGATION OF THE DOME BEARING VERTICAL WALLS IN S. MARIA DEL FIORE CATHEDRAL OF FLORENCE. P. Aminti, I. Chiaverini, D. Ostuni.
NEW SURVEY OF MORIMONDO ABBEY. Bruno Astori, Luca Rinaldi, Grazia Tucci.
SARNO (ITALY) LANDSLIDES: DIFFERENT METHODOLOGIES OF DATA ACQUISITION. M. Barbarella, M. Fiani.
DIGITAL PHOTOGRAMMETRY AND LASER RANGE CAMERA FOR PHYSIC MODEL GEOMETRY DETERMINATION. M. Barbarella, A. Vettore.
SAMPLING AND VARIANCE ANALYSIS IN REGGIO CALABRIA. Vincenzo Barrile and Rossella Nocera.
GEOID ESTIMATION THROUGH GPS OBSERVATIONS. R. Barzaghi, A. Borghi.
DATA PROCESSING VERSUS GEOMATICS. T. Bellone, L. Mussio, C. Nardinocchi.
PERTINENCE DE L'OFFRE DE FORMATION DU GDTA A' L'INTERNATIONAL. Jean-Luc BESSIS.
THE ARCHITECTURAL AND ARCHAEOLOGICAL PHOTOGRAMMETRICAL EXPERIENCES IN GREECE AND MIDDLE ASIA. Giorgio Bezoari.
PROCEDURES OPTIMISATION IN THE QUALITY SYSTEM. G. Bezoari, F. Guzzetti.
CARTOGRAPHY FOR TOWN PLANNING. Giorgio Bezoari, Attilio Selvini.
INDEXING TREE METHODS AND SPATIAL ORDERING FOR MAPS AND GEOGRAPHIC DATA: AN OVERVIEW AND APPLICATION TO THE GEODETIC GIS PROJECT. L. Biagi, M. A. Brovelli, M. Negretti and C. Saldarini.
GIS/WEB DESIGN FOR INTERNET/INTRANET DATA SHARING. Piero BOCCARDO, Giuliano COMOGLIO, Nadia CORGIAT LOIA.
SURFACE SPATIAL ANALYSIS IN ARCHITECTURAL AND ARCHAEOLOGICAL SURVEY: DIGITAL AND ANALYTICAL PROCEDURES. Raffaella BOLOGNA, Maurizio MINCHILLI.
VERY LARGE SCALE MAPPING OF THE ARCHAEOLOGICAL SITE IN CERVETERI (ITALY): DATA COLLECTION FROM DIGITAL AUTOMATIC D.T.M., ORTHOPROJECTION AND ANALYTICAL STEREOPLOTTING. Raffaella BOLOGNA, Maurizio MINCHILLI.
DES COMPOSANTS LOGICIELS GEOGRAPHIQUES POUR ELARGIR ET DEMOCRATISER L'ACCES A LA TECHNOLOGIE ETA L’INFORMATION GEOGRAPHIQUE. SPATIAL SOFTWARE COMPONENTS FOR WIDENING AND DEMOCRATIZING ACCESS TO GEOGRAPHIC INFORMATION AND TECHNOLOGY. Patrice BOURSIER, Michel EBOUEYA, Arunas STOCKUS, Alain BOUJU, Frédéric BERTRAND.
VALIDATION OF AN ANCIENT PERSPECTIVE IN LECCO (ITALY). PIETRO BROGLIA, EVA SAVINA MALINVERNI, LUIGI MUSSIO.
THE USE OF SPATIAL-ORIENTED DATA BASE MANAGEMENT SYSTEMS (DBMS) FOR ITALGEO GEOID MANAGEMENT BY GIS. M. A. Brovelli, F. Migliaccio and V. Tornatore.
COMPARISON BETWEEN PHOTOGRAMMETRICAL SURVEYS OF THE ST.STEFANO CHURCH'S CLOISTER IN BOLOGNA AND METRICS EVALUATIONS OF THE OPERATIONS OF RESTORATION. A. Capra, S. Gandolfi, G. Lombardi, A. Zanutta.
EXPERIMENTAL TESTS IN DIGITAL IMAGES PLOTTING. M. Caprioli, P. De Fazio.
GVM - GAC PROCESSING CHAIN : A REMOTE SENSING TOOL FOR ENVIRONMENTAL APPLICATIONS AT CONTINENTAL LEVEL. C. Carmona-Moreno, M. Turchini, M. F. Cruz Martinez, J. Baron, J. Lopez Raya José, A. Moreno Ruiz.
INTERNATIONAL COOPERATION AND TECHNOLOGY TRANSFER GAIA: global astrometry from space at 10 [...] level. D. Cardio, B. Bucciarelli, M. Gai, M. G. Lattanzi and S. Cesare.
ESTABLISHMENT OF A LEVELLING NETWORK FOR THE MONITORING OF POSSIBLE VERTICAL MOVEMENTS IN THE AREA OF PISA - SAN GIULIANO TERME PONTASSERCHIO-MIGLIARINO PISANO (ITALY). G. Caroti, E. Mengali, A. Rossi, C. Scalese.
ESTIMATING MEASUREMENT PRECISION BY MEANS OF MEASUREMENT DIFFERENCES. V. Casella.
AUTOMATIC FOREST AREA RECOGNITION USING GIS IMAGE ANALYSIS CAPABILITY. Marco Ciolli, Paolo Zatelli.
NEW APPROACH TO THE ESTIMATION OF SNOWPACK ESTENSION VIA REMOTE SENSING. Alessandra Colombo, Giovanmaria Leoni.
CULTURAL HERITAGE WEB SITES: THE SUPPORT OF GEOMATICS. Luigi Colombo.
A METHOD FOR ESTIMATING 3D SHAPES MOTION BY A FREQUENCY DOMAIN TECHNIQUE. G. M. Cortelazzo, A. Guamieri, A. Vettore.
LA FORMATION AU C.R.T.O. A. Coulibaly.
A COMPUTER PROGRAM FOR THE VARIANCE-COVARIANCE ESTIMATION OF GPS BASELINE VECTORS. N. Crocetto, M. Gatti, C. Materazzo, L. Toscano.
INTERFEROMETRIC SAR CALIBRATION. M. Crosetto, B. Crippa.
OPTIMISATION DES DATES D'ACQUISITION DES IMAGES TELEDECTION EN ZONE SOUDANO-GUINEENNE POUR UN SUIVI DES ECOSYSTEMES. Cheick Hamala DIAKITE.
FIELD TESTS ON DGPS USING OMNISTAR CORRECTION. D. Dominici, M. L. Pecetti, F. Radicioni, A. Stoppini.
CONTROL DIRECTIONS FOR THE CALIBRATION OF TERRESTRIAL NON-METRIC CAMERAS. Gabriele Fangi.
EXPERIENCES OF VIRTUAL REALITY. G. Fangi, G. Gagliardini.
THE GRID METHOD, A SIMPLE PROCEDURE FOR THE DETERMINATION OF THE LENSE RADIAL DISTORTION. G. Fangi, Carla Nardinocchi.
DEM'S COMPARISON FOR THE EVALUATION OF LANDSLIDE VOLUME. M. Fiani, S. Troisi.
AUTOMATIC DEM GENERATION IN QUARRIES. Gianfranco FORLANI, Livio PINTO.
STATIC CONTROL OF PALAZZO DELLA RAGIONE IN PADUA. Alberto Giussani, Giorgio Vassena.
Conditions préalables au fonctionnement efficace et durable d'un SIG à base de télédétection. Claus-Peter Gross.
PROCEDURES OF CORRECTION OF THE GEOMETRY DISTORSIONS FOR DIGITAL IMAGES. A. Guarnieri, A. Vettore.
GEOPLANTRANSF: A SOFTWARE FOR THE GEOREFERENCING OF DIGITAL IMAGES BY USING PLANE TRASFORMATIONS. Francesco Guerra, Caterina Balletti, Davide Miniutti.
LA DECADENCE EN PRODUCTION CARTOGRAPHIQUE EN AFRIQUE: CAUSES ET THERAPIES DE REDEMARRAGE. A. L. Gueye, B. F. Agbo, P. M. Kibora.
GEOMATICS EDUCATION IN NIGERIA: THE CURRENT DRIVES. A. L. Gueye, O. Aguda.
DE LA TOPOGRAPHIE CONVENTIONNELLE VERS LA GEOMATIQUE: UNE EVOLUTION TECHNOLOGIQUE DE L'ENSEIGNEMENT TECHNIQUE DANS LE SYSTEME EDUCATIF CAMEROUNAIS. HAPPI MANGOUA FREDERIC.
INTERNET-ATLAS OF NATURAL AND AGRONOMIC RESOURCES IN NIGER AND BENIN - A TOOL FOR PRESENTATION AND EXCHANGE OF SPATIAL DATA - . L. Herrmann, K. Vennemann, K. Stahr.
Mapping from Space. Gottfried Konecny.
CONTEMPORARY METRICAL DOCUMENTATION OF CULTURAL HERITAGE ARCHITECTURE. Mojca Kosmatin Fras.
Acquisition of Topographic Data by Laser Scanning and Digital Photogrammetry. Karl Kraus.
The GeoMed Project: GIS and Spatial/Temporal Statistics in Public Health. Andy Long, Mark Wilson, Geoff Jacquez, Leah Estberg.
GPS and GLONASS in Italy. Giorgio Manzoni.
GEOMATICS EDUCATION AND TRAINING IN BOTSWANA. L. Maphale, M. B. Manisa, B. Nkwae, C. Ezigbalike.
THE TWOFOLD NATURE OF MEASUREMENT AS EMPIRICAL AND LINGUISTIC OPERATION. Luca Mari.
UNCERTAINTY IN MEASUREMENT: A SURVEY. Luca Mari.
A RECTIFICATION OF DIGITAL IMAGES OBTAINED FROM AN ANALOGICAL VIDEORECORDING. Patrizia Midulla.
GENE FUCTIONAL MAPPING. Luciano Milanesi, Raffaella Rizzi.
THE APPLICATION OF GEOGRAPHIC INFORMATION SYSTEMS IN ENVIRONMENTAL IMPACT ASSESSMENT IN AFRICA: CHALLENGES AND OPPORTUNITIES. MLENGE FANUEL MGENDI.
GIS: TEACHING EXPERIENCE IN THE COURSE AT DIIAR POLITECNICO OF MILAN. Carlo MONTI, Raffaella BRUMANA, Luigi FREGONESE.
GIS TECHNOLOGY TO SUPPORT SURVEY DATA AND MANAGEMENT OF DIFFERENT QUARRY TYPOLOGIES. Carlo MONTI, Raffaella BRUMANA, Luigi FREGONESE, Giorgio Vassena.
LA FORMATION ET LA RECHERCHE AU CENTRE NATIONAL DES TECHNIQUES SPATIALES. A. OUSSEDIK, M. A. TRACHE.
GEOID BEHAVIOUR IN THE BAHIA BLANCA AREA. Raúl Perdomo y Daniel Del Cogliano, Nilda Di Croché, Esteban Napal, Beatriz Aldalur, Ana María De Aduriz, Pablo Napal, Nora Plana, Irene Pintos, Miguel Angel Martínez, Santiago Rosso.
GEOID MODELLING IN THE SOUTHERN REGION OF THE BUENOS AIRES PROVINCE. Raúl Perdomo, Daniel Del Cogliano, Nilda Di Croche, Esteban Napal, Beatriz Aldalur, Pablo Napal, Irene Pintos.
SATELLITAL IMAGING, INFORMATION SUPPORT OF A PROVINCIAL CARTOGRAPHIC PROJECT. E. QÜESTA, R. YANICELLI, V. FARES, L. LUNA, E. GOLDAR, D. SANDEZ, C. ISORNI, W. COSTA, E. TONELLI.
FORMATION ET PROJETS EN GEOMATIQUE MIS EN PLACE PAR L'ASSOCIATION POUR LE DEVELOPPEMENT DE L'INFORMATION ENVIRONNEMENTALE (ADIE) EN AFRIQUE CENTRALE. Ralph Ridder, Brice Montfraix, Stéphane Lombardo.
CONSTRUCTION OF BASIC DIGITAL MAP FOR CITY GIS BY STEREOPHOTOGRAMMETRIC APPROACH. B. Ruzgiene.
SAGE: AN ITALIAN PROJECT OF SATELLITE ACCELEROMETRY. F. Sanso, A. Albertella, G. Bianco, A. Della Torre, M. Fermi, V. lafolla, A. Lenti, F. Migliaccio, A. Milani, A. Rossi.
THE TEACHING OF REMOTE SENSING IN SOUTH AMERICA. Tania Maria Sausen.
CROP GROWTH MODELLING IN MALI BASED ON ERS SCATTEROMETER INFORMATION. Pierre C. Sibiry Traoré, Mamadou D. Doumbia, Salifou Sissoko, Abderamane Yoroté, Wolfgang Wagner, Klaus Scipal, Anne Gobin, Paul Campling, Erik Nobbe, Rob Beck.
TER LOW COST SMALL SATELLITES FOR EARTH OBSERVATION AND TECHNOLOGY TRANSFER TO DEVELOPING COUNTRIES. Martin Sweeting, Wei Sun.
MAPPING OF HYDROTHERMAL ALTERATION BY REMOTE SENSING AT THE ACOCULCO CALDERA, PUEBLA, MEXICO. VICENTE TORRES RODRÍGUEZ & GABRIEL ORIGEL GUTIÉRREZ.
ISSUES AND APPROACHES IN MAPPING THE IMPACTS OF MINING ON THE ENVIRONMENT IN AFRICA (WITH TEST CASE FROM KITWE MINE, ZAMBIA). Tsehaie Woldai, Daniel Limptlaw.
POTENTIAL FOR COMPUTER ASSISTED DISTANCE LEARNING IN ZAMBIA: WHAT ARE THE CONSTRAINTS AND THE WAY FORWARD. Paul Zambezi.
Appendix: Authors and Co-authors Index.
Cover

Full text

195
3.2 Orbital Parameters and Atmospheric Effects
The last parameter of the InSAR model is the
interferometric constant Die that appears in the
interferometric equation. This term usually represents the
unwrapping integration constant, to be determined using
at least one GCP. In our procedure, the parameterization
of Die is of the form:
D| C = d 0 + d 1 • col + d 2 • lin + d 3 • col • lin + d 4 • col 2 + d 5 • lin 2 (6)
where the coefficients do, di, 62, d 3 , d 4 and ds have to be
estimated in the adjustment.
It includes the following components:
- the phase unwrapping integration constant;
- the effect of orbit errors on the interferometric distance;
- the low frequency atmospheric effects on the
interferometric phase.
There is a single unwrapping constant for the entire scene
only if one integration zone is created during the
unwrapping. Otherwise, for each separate zone a different
constant has to be estimated.
In our calibration, the orbit errors are not explicitly
modelled because the set of described parameters (Ro,
AR, To, AT, fD and Die) is sufficient to compensate for the
maximal errors we can expect in the orbits. The
effectiveness of the compensation was tested by
simulation assuming very conservative orbit biases. The
orbital errors of the master satellite are compensated for
by three parameters: the along-track component by To;
the radial component by Ro; and the out-of-plane
component, which affects both MP and the angle between
the vectors Vm and MP, by Ro and fo. The radial and out-
of-plane components of the slave orbital errors are
compensated for by setting the coefficients of Die as
parameters in the adjustment; the along-track component
has no effect on the positioning.
The interferometric constant Die can partially compensate
for the low frequency atmospheric effects on the
interferometric phase. Between the two image
acquisitions, changes in the refractive index of
atmosphere may occur. These changes are mainly due to
tropospheric disturbances (Hanssen and Feijt, 1996),
(Hanssen, 1998) and can result in very big phase shifts
(shifts up to 3 cycles are reported). Their consequences in
the generated DEMs can be very impressive: artefacts
(e.g. depressions) interpreted as relief can appear. Their
magnitude depends on the baseline length and can even
reach 100+200 m. Expressing the interferometric constant
as a second order polynomial and with an adequate
distribution of GCPs, the atmospheric effects on the
generated DEMs characterised by low spatial frequency
can be compensated for.
4. ESTIMATION OF THE InSAR PARAMETERS
The calibration of the InSAR geometry requires the
refinement of the model parameters through least squares
adjustment using GCPs. The calibration improves the
image to object geometric transformation of a specific
interferometric pair and has to be carried out for every
processed InSAR pair.
The input data for the LS adjustment are the precise
master and slave orbits and the GCPs, i.e. points whose
position in the image space (col, lin, <Du) and in the object
space (xp,y P ,zp) is known. For each GCP it is possible to
write one range equation, one Doppler equation and one
interferometric equation. These are the same equations
(2), (3) and (4) used for the grid generation, but in this
case the position of the pixel footprint P (xp,y P ,zp) is
known and the model parameters (Ro, AR, To, AT, f D o, ídi,
fü2, ÍD3, do, d-i, d2, d 3 , d 4 and ds) that have to be refined
are the unknowns.
Some model parameters are geometrically correlated.
Setting them as free parameters causes an ill-conditioned
normal matrix in the adjustment. In order to avoid a
singular or ill-conditioned normal matrix, the parameters,
which can not be determined with the given configuration,
have to be excluded from the adjustment. An effective
way to proceed in such a case is to add a so-called
pseudo-observation to the observation equations (in this
case the 3 equations written for each GCP) for each
unknown parameter:
Pk = Pk ! wk
where:
Pk is the K th unknown parameter (to be adjusted),
p K is the approximate value of the K th parameter p K
(treated as pseudo-observation),
w K is the weight associated to the K^ pseudo
observation.
The weight associated to each pseudo-observation is
employed to this purpose: those parameters whose
values can not be determined in the adjustment receive a
large weight in the relative pseudo-observation.
The InSAR geometry calibration requires the estimate of
not homogeneous (e.g. times, distances, frequencies) and
highly correlated parameters. We face two opposite
requirements: we need a stable estimate of the
parameters (this implies to avoid building an ill-
conditioned matrix and hence to reduce the number of
adjusted parameters); but we aim at accurate calibration
of the InSAR geometry, i.e. we have to compensate for all
distortions (this demands to increase the number of
parameters).
We choose to exclude from the adjustment only the
parameters that make very ill-conditioned the normal
matrix N. The selection of the set of parameters is based
on the following points:
- analysis of the normal matrix eigenvalues and of the
condition number;
- check of the coefficient of total correlation of each
parameter;
- evaluation of the correlation coefficient between pairs of
parameters.
The complete description of the least squares adjustment
adopted for the InSAR geometry calibration (e.g.
linearization of the equations, construction of the
stochastic model, solution estimation, etc.) is reported in
appendix A.
4.1 GCP Identification
The GCPs are usually measured on the amplitude SAR
images (see Figure 2). Depending on the land cover type
and the topography, the measure can be also performed
on coherence images (see Figure 3).
It is quite difficult to establish a general rule for the
number of GCPs required for the calibration. For areas up
to 50 by 50 km (comparable with those we analysed), a
set of 8+10 GCPs, evenly distributed in the whole scene,
should assure a sufficient redundancy for the LS
estimation.

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