The growing availability of high resolution satellite images leads to evaluations that are aimed at the definition of the mapping scale they can reasonably be defined for. The problems connected to the use of satellite images for the production of orthophotos in urban areas at a middle scale are dealt with in this work. An analysis of the residuals perspective errors connected to the presence of great altimetric discontinuites due to buildings and infrastructures is made. The effects of the use of a Dense DTM are evaluated and the problem of displacements on orthophotos induced by raised volumes are considered too. A procedure has been developed which allows the orthoprojection of high resolution satellite images using a Dense DTM and non‐parametric models. In particular non parametric algorithms based on Rational Function Models (RFM) and Neural Network (Multy Layer Perceptron) have been implemented. A multiimage (along‐across track stereo images, multi‐temporal images) and/or multi‐sensor approach can be followed for the production of true orthophotos: this approach can prevent from the problem of data duplication next to elevation discontinuites.

Orthorectification of high resolution satellite images

BORGOGNO MONDINO, Enrico Corrado;
2004-01-01

Abstract

The growing availability of high resolution satellite images leads to evaluations that are aimed at the definition of the mapping scale they can reasonably be defined for. The problems connected to the use of satellite images for the production of orthophotos in urban areas at a middle scale are dealt with in this work. An analysis of the residuals perspective errors connected to the presence of great altimetric discontinuites due to buildings and infrastructures is made. The effects of the use of a Dense DTM are evaluated and the problem of displacements on orthophotos induced by raised volumes are considered too. A procedure has been developed which allows the orthoprojection of high resolution satellite images using a Dense DTM and non‐parametric models. In particular non parametric algorithms based on Rational Function Models (RFM) and Neural Network (Multy Layer Perceptron) have been implemented. A multiimage (along‐across track stereo images, multi‐temporal images) and/or multi‐sensor approach can be followed for the production of true orthophotos: this approach can prevent from the problem of data duplication next to elevation discontinuites.
2004
Vol. XXXV, part B1
30
35
PIERO BOCCARDO; E. BORGOGNO MONDINO; FABIO GIULIO TONOLO; ANDREA LINGUA
File in questo prodotto:
File Dimensione Formato  
2004_ISPRS.pdf

Accesso aperto

Tipo di file: PDF EDITORIALE
Dimensione 674.95 kB
Formato Adobe PDF
674.95 kB Adobe PDF Visualizza/Apri

I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.

Utilizza questo identificativo per citare o creare un link a questo documento: https://hdl.handle.net/2318/103885
Citazioni
  • ???jsp.display-item.citation.pmc??? ND
  • Scopus ND
  • ???jsp.display-item.citation.isi??? ND
social impact