SAR-SIFT for Matching Multiple SAR Images and Radargrammetry

Radargrammetry and Interferometry Sar for Dem Generation

Digital elevation models (DEMs) can be generate by interferometric SAR (InSAR) and radargrammetry techniques from different positions of Synthetic Aperture Radar (SAR) images. Radar imaging systems record both the phase (or time) and intensity information of the backscattered signals. InSAR utilises the phase information of the images to extract useful geodetic information, such as the height o...

Modifications in the Sift Operator for Effective Sar Image Matching

Sar Image Matching Method Based on Improved Sift for Navigation System

In order to ensure that SAR scene matching aided navigation system can acquire the position errors and yawing errors simultaneously, we propose an image matching algorithm based on Scale Invariant Feature Transform (SIFT). However, the SIFT is proposed for optical image, and its performance degrades when used in SAR image. To enhance the adaptability of SIFT, two ways are employed. One is the a...

Analysing multitemporal SAR images

Applications of multitemporal SAR data in many cases require accurate estimates of the backscattering coefficient at each time. Here we describe how multitemporal and spatial filtering can be combined in a processing chain to greatly improve the radiometric accuracy of the data and how the general methods can be simplified in the case of ERS data. The results will be illustrated using ERS-2 ima...

Information from SAR images

Previously the production of focused, undistorled. synthetic-aperture radar (SAR) images in a routine way has been described. The means by which information about the scene can be extracted from the resultant images is discussed here. The importance of prior knowledge about the form of the scene for interpreting the image data is shown. Different types 01 model are introduced and their implicat...