Multi-Sensor and Multi-Temporal Fusion of VHR Satellite Imagery based on KIM

Similar to many advanced approaches in data fusion and multi-sensor image analysis, Image Information Mining (IIM) is hampered by sensor-specific differences in spatial resolution and spectral response. This study examines the representation of semantic categories integrating Ikonos and Quickbird imagery in the Knowledge-Based Information Mining system KIM. An operationally viable processing sequence is presented which accounts for sensor-related differences along with an evaluation of the application of IIM technologies in operational rapid mapping scenarios.

MOLCH Katrin; 

2010-02-19

IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC

JRC48734

1545-598X,   

https://publications.jrc.ec.europa.eu/repository/handle/JRC48734,   

10.1109/LGRS.2009.2019608,