A 3-dimensional polynomial model for geometric corrections of airborne SAR images

Jingjing Song; Jingjuan Liao

doi:10.1117/12.910393

15 August 2011 A 3-dimensional polynomial model for geometric corrections of airborne SAR images

Jingjing Song, Jingjuan Liao

Proceedings Volume 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing; 82030G (2011) https://doi.org/10.1117/12.910393
Event: Seventeenth China Symposium on Remote Sensing, 2010, Hangzhou, China

Abstract

Terrain undulations have significant influence on the geometric and radiometric quality of high-resolution airborne synthetic aperture radar images. The correction of these effects becomes indispensable before image analyzing. The paper presents a new approach to the geometric correction under unknown parameters of the SAR imaging geometry. Using a three-dimensional (3D) polynomial model, the image of the testing area is geo-corrected. The selection of polynomial order is emphasized. The best appropriate polynomial order for testing area is selected after testing nine different polynomial orders which are 1-1-0, 1-1-1, 2-2-0, 2-2-1, 2-2-2, 3-3-0, 3-3-1, 3-3-2, 3-3-3. The resulting image is a fully terrain corrected one and could be used for real-time monitoring and evaluating emergencies (e.g., hurricanes or earthquakes).

Citation Download Citation

Jingjing Song and Jingjuan Liao "A 3-dimensional polynomial model for geometric corrections of airborne SAR images", Proc. SPIE 8203, Remote Sensing of the Environment: The 17th China Conference on Remote Sensing, 82030G (15 August 2011); https://doi.org/10.1117/12.910393

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