Unsupervised SAR Image Change Detection Based on SIFT Key points and Region Information
Product Description
Unsupervised SAR Image Change Detection Based on SIFT Key points and Region Information
Abstract—This letter presents a new unsupervised distribution-free change detection method for synthetic aperture radar (SAR) images based on scale-invariant feature transform (SIFT) keypoints and region information. Since the SIFT can detect blob-like structures in an image and be insensitive to noise, we first ex-tract noise-robust SIFT keypoints in the log-ratio image to reduce
the detection range. < final year projects >
Including Packages
Our Specialization
Support Service
Statistical Report
satisfied customers
3,589
Freelance projects
983
sales on Site
11,021
developers
175+
