Fusion of RADARSAT fine-beam SAR and QuickBird data for land-cover mapping and change detection

Yifang Ban; Hongtao Hu; Irene Rangel

doi:10.1117/12.760747

26 July 2007 Fusion of RADARSAT fine-beam SAR and QuickBird data for land-cover mapping and change detection

Yifang Ban, Hongtao Hu, Irene Rangel

Proceedings Volume 6752, Geoinformatics 2007: Remotely Sensed Data and Information; 67522H (2007) https://doi.org/10.1117/12.760747
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

The objective of this research is to evaluate multitemporal RADARSAT Fine-Beam C-HH SAR data, QuickBird MS data, and fusion of SAR and MS for urban land-cover mapping and change detection One scene of QuickBird imagery was acquired on July 18, 2002 and five-date RADARSAT fine-beam SAR images were acquired during May to August in 2002. Landsat TM imagery from 1988 was used for change detection. QucikBird images were classified using an object-based and rule-based approach. RADARSAR SAR texture images were classified using a hybrid approach. The results demonstrated that, for identifying 19 land-cover classes, object-based and rule-based classification of Quickbird data yielded an overall classification accuracy of 86.7% (kappa 0.857). For identifying 11 land-cover classes, ANN classification of the combined Mean, Standard Deviation and Correlation texture images yielded an overall accuracy: 71.4%, (Kappa: 0.69). The hybrid classification of RADARSAT fine-beam SAR data improved the ANN classification accuracy to 83.56% (kappa: 0.803). Decision level fusion of RADARSAT SAR and QuickBird data improved the classification accuracy of several land cover classes. The post-classification change detection was able to identify the areas of significant change, for example, major new roads, new low-density and high-density builtup areas and golf courses, even though the change detection results contained large amount of noise due to classification errors of individual images. QuickBrid classification result was able add detailed change information to the major changes identified.

Citation Download Citation

Yifang Ban, Hongtao Hu, and Irene Rangel "Fusion of RADARSAT fine-beam SAR and QuickBird data for land-cover mapping and change detection", Proc. SPIE 6752, Geoinformatics 2007: Remotely Sensed Data and Information, 67522H (26 July 2007); https://doi.org/10.1117/12.760747

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