Title :
Usage of multitemporal filtering of SAR images for change detection
Author :
Romero, Rosana ; Marcos, Jesús Sanz ; Carrasco, Daniel ; Moreno, Victoriano ; Valero, Juan Luis ; Lafitte, Marc
Author_Institution :
Indra Espacio San Fernando de Henares, Madrid
Abstract :
A methodology for change detection of artificial features using multitemporal series of SAR data is presented. The methodology uses time averaging of data from ERS-2 and Envisat yielding improved radiometric quality which highly improves the photointerpretability. The methodology is tested in several scenarios in the context of security applications when data needs to be gathered during cloudy season when optical satellites are unable operate. The results have been validated with very high resolution optical data from summer season.
Keywords :
feature extraction; image resolution; remote sensing by radar; terrain mapping; topography (Earth); ERS-2 image; Envisat image; SAR images; SAR superresolution images; Synthetic Aperture Radar; artificial features change detection; automatic change detection methods; cloudy season; feature extraction; high resolution optical satellites; image resolution; multitemporal filtering; photointerpretability; radiometric quality; summer season; Adaptive optics; Filtering; Image resolution; Monitoring; Optical filters; Optical interferometry; Radar detection; Radiometry; Satellite broadcasting; Speckle; SAR; change detection; multitemporal filtering; superresolution;
Conference_Titel :
Geoscience and Remote Sensing Symposium, 2007. IGARSS 2007. IEEE International
Conference_Location :
Barcelona
Print_ISBN :
978-1-4244-1211-2
Electronic_ISBN :
978-1-4244-1212-9
DOI :
10.1109/IGARSS.2007.4423210
