A feature-based approach to register CBERS CCD and HRC imagery for built-up area extraction purposes
Daniele De Vecchi, Mostapha Mohammad Harb, Gianni Cristian Iannelli, Paolo E. Gamba, Fabio Dell’Acqua, Raul Queiroz Feitosa · 2015
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.