A feature-based approach to register CBERS CCD and HRC imagery for built-up area extraction purposes

Author

De Vecchi, Daniele ; Harb, Mostapha ; Iannelli, Gianni Cristian ; Gamba, Paolo ; Dell´Acqua, Fabio ; Feitosa, Raul Q.

Author_Institution

Dept. of Ind. & Inf. Eng., Univ. of Pavia, Pavia, Italy

fYear

2015

Firstpage

1

Lastpage

4

Abstract

The open data policy, the availability of high resolution imagery and the capability to cover fast-growing economies are among the main advantages of CBERS. Unfortunately, data produced by this satellite suffer of geographic misplacement, forcing to apply pre-processing techniques to stabilize the imagery. This paper introduces a feature-based technique developed to pre-process CBERS imagery over an area of interest. In particular, the algorithm is able to fix the shift among HRC high resolution (2.5 meters) and CCD medium resolution (20 meters). The final goal is to combine the advantages of high resolution and radiometric properties for built-up area extraction purposes.

Keywords

CCD image sensors; feature extraction; geophysical image processing; image resolution; radiometry; HRC imagery; builtup area extraction; feature-based approach; feature-based technique; radiometric properties; register CBERS CCD imagery; resolution imagery; Charge coupled devices; Data mining; Feature extraction; Image resolution; Robustness; Satellite broadcasting; Satellites;

fLanguage

English

Publisher

ieee

Conference_Titel

Urban Remote Sensing Event (JURSE), 2015 Joint

Type

conf

DOI

10.1109/JURSE.2015.7120350

Filename

7120350