A Preliminary Study on SAR Advanced Information Retrieval and Scene Reconstruction

作者：Xu, Feng^*; Jin, Ya-Qiu; Moreira, Alberto

来源：IEEE Geoscience and Remote Sensing Letters, 2016, 13(10): 1443-1447.

DOI：10.1109/LGRS.2016.2590878

• Advanced information retrieval (AIR)
• scene reconstruction
• synthetic aperture radar (SAR)

Rapid advances in synthetic aperture radar (SAR) technologies have brought challenges in image interpretation toward the development of new Earth observation applications. Both novel scattering-imaging models and intelligent inversion techniques are required for advanced information retrieval and interpretation of high-resolution multidimension and multimode SAR data. As an example, scene reconstruction attempts to transfer the SAR image to human-understandable representation of man-made targets and natural environment. In this letter, a framework for scene reconstruction is outlined. It includes three key elements: a dictionary of parametric scatterer model, a method for scatterer recognition and parameter estimation, and a method for target reconstruction. A preliminary case is presented, where a simulated 3-D SAR image of a simple target is successfully reconstructed to a solid geometry. It uses a novel surface extension method to connect isolated scatterers to form a complete target geometry.

• 出版日期2016-10
• 单位复旦大学