The automatic registration between high resolution satellite images and a vector map based on RFM

Author

Zou, Songbai ; Zhang, Jianqing ; Zhang, Yong

Author_Institution

Sch. of Remote Sensing & Eng. Inf., Wuhan Univ., Wuhan

fYear

2009

fDate

11-12 April 2009

Firstpage

397

Lastpage

401

Abstract

This paper focuses on the automatic registration and precise positioning of high-resolution satellite images and a vector map utilizing the RPC. First, the general RFM is introduced for high-resolution satellite images, and then the methods to compensate for systemic errors of these models are stated. Experiments with SPOT-5 images are analyzed and suggest the automatic registration of high-resolution satellite images and a vector map is feasible, and the positioning precision satisfies the surveying requirements of small or medium-scale topographical maps.

Keywords

geophysical signal processing; image registration; image resolution; vectors; RFM; automatic registration; high resolution satellite images; medium-scale topographical maps; precise positioning; rational function model; small-scale topographical maps; vector map; Data mining; Equations; Image analysis; Image databases; Image resolution; Remote sensing; Roads; Satellites; Spatial resolution; Vectors; Automatically Registration; Rational Function Model; Satellite Images; Vector Map;

fLanguage

English

Publisher

ieee

Conference_Titel

Image Analysis and Signal Processing, 2009. IASP 2009. International Conference on

Conference_Location

Taizhou

Print_ISBN

978-1-4244-3987-4

Type

conf

DOI

10.1109/IASP.2009.5054632

Filename

5054632