SAR Image change detection using OpenCV-Deeplearning

6,000.00

SAR Image change detection using OpenCV-Deeplearning

100 in stock

SKU: SAR Image change detection using OpenCV-Deeplearning Category:

Description

SAR Image change detection using OpenCV-Deeplearning

SAR images are increasingly gaining importance in the field of remote sensing applications. The receiving SAR data are affected by multiplicative speckle noise which form granular patterns. Hence despeckling is done prior to object detection. Here a comparison of several transform domain techniques are carried out for despeckling SAR images. Performance parameters such as ENL, PSNR, SSIM etc. are used to evaluate the result. From the result, Curvelet is chosen as the optimum technique for despeckling. In this paper SAR image change detection is performed and further object detection is done using CA-CFAR.

Additional information

Weight 1.000000 kg

Reviews

There are no reviews yet.

Be the first to review “SAR Image change detection using OpenCV-Deeplearning”

Your email address will not be published.

This site uses Akismet to reduce spam. Learn how your comment data is processed.