an automatic algorithm based on angular histogram for corregistartion of synthetic aperture radar images
نویسندگان
چکیده
coregistration of optical and radar imageries is a major pre-processing step in many remote sensing applications including change detection and interferometric processing. specially, the coregistration faced more difficulties in radar imageries due to the high noise level and intense spatial-temporal decorrelation. hence, non-automatic coregistration methods are much more time consuming and inefficient. because, the probable geometrical and temporal (signal-target interaction) differences between two acquisitions (i.e, master and slave) caused spectral shifts between corresponding pixels. in this case, using grid points as a tie in the coregistration process drastically reduces the reliability of the process while use of the corner points in the images could solve the problem. to resolve this problem, an automatic algorithm based on angular histogram was proposed for coregistration of synthetic aperture radar (sar) imageries that have taken in different height, time and situation. this method automatically extracted the corners from the slave and master images and used these points as nodal points. however, unlike conventional methods, there is no need to perform the image matching process. the coregistration rmse value for three case studies related to the radarsat-2 imageries of batala area, india, radarsat-2 imageries of sendai region, japan and terrasar-x imageries in sendai region, were 0.29, 0.35 and 0.43, respectively. comparison of the proposed coregistration method with cubic convolution (cci) interpolation based coregistration method showed that the accuracy of the proposed method was improved to 5%, 5% and 9% for three datasets, respectively. the results indicated high efficiency and accuracy of the proposed algorithm. moreover, the proposed algorithm illustrates the high performance in the case that the angle and scale between the master and slave images are relatively large.
منابع مشابه
Coregistration Based on Sift Algorithm for Synthetic Aperture Radar Interferometry
Single-look complex image coregistration is the key step of Synthetic Aperture Radar(SAR) Interferometry. The precision of the coregistration results have a direct effect on the quality of the SAR interferogram generated, thereby it will influence the accuracy of extracting DEM. In this paper, SIFT (Scale Invariant Feature Transform) algorithm will be used in Single-look complex image coregistr...
متن کاملAutomatic Target Recognition Strategy for Synthetic Aperture Radar Images Based on Combined Discrimination Trees
A strategy is introduced for achieving high accuracy in synthetic aperture radar (SAR) automatic target recognition (ATR) tasks. Initially, a novel pose rectification process and an image normalization process are sequentially introduced to produce images with less variations prior to the feature processing stage. Then, feature sets that have a wealth of texture and edge information are extract...
متن کاملOptical images-based edge detection in Synthetic Aperture Radar images
We address the issue of adapting optical images-based edge detection techniques for use in Polarimetric Synthetic Aperture Radar (PolSAR) imagery. We modify the gravitational edge detection technique (inspired by the Law of Universal Gravity) proposed by Lopez-Molina et al, using the non-standard neighbourhood configuration proposed by Fu et al, to reduce the speckle noise in polarimetric SAR i...
متن کاملParallel Matching of Synthetic Aperture Radar Images
This paper presents an MPI-parallelized version of a matching algorithm for synthetic aperture radar (SAR) images. First the necessity for automated matching and the chosen algorithm are outlined briefly, and the algorithmic structure and the applied parallelization strategy are then presented and discussed. Performance results on a Cray T3D and a PowerChallenge from SGI are given, showing unex...
متن کاملمنابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
مهندسی فناوری اطلاعات مکانیجلد ۲، شماره ۴، صفحات ۵۳-۷۵
میزبانی شده توسط پلتفرم ابری doprax.com
copyright © 2015-2023