SAR-SIFT: A SIFT-Like Algorithm for SAR Images

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...

Research on improved SIFT algorithm

Image matching is a research focus in the field of image processing. The method based on feature matching by researchers alike for Its stable performance. Based on the analysis of the traditional SIFT algorithm, For computationally intensive problems of SIFT feature descriptor links, Proposed a new descriptor generation algorithm. Experimental results show that this method can effectively reduc...

Parallel Research and Implementation of SAR Image Registration Based on Optimized SIFT

A new SAR image registration method was Proposed based on improved SIFT algorithm. Which adopted multi-core system platform was used to overcoming the problem of high complexity algorithm of SIFT algorithm; According to the characteristics of SAR image, first of all, the source SAR image was enhanced in airspace, and finish the parallel extraction of feature points with the improved SIFT algori...

Novel Parallel Approach for SIFT Algorithm Implementation

The scale invariant feature transform (SIFT) is an effective algorithm used in object recognition, panorama stitching, and image matching. However, due to its complexity, real-time processing is difficult to achieve with current software approaches. The increasing availability of parallel computers makes parallelizing these tasks an attractive approach. This paper proposes a novel parallel appr...