MS-HLMO: Multiscale Histogram of Local Main Orientation for Remote Sensing Image Registration

Image registration by local histogram matching

We previously presented an image registration method, referred to hierarchical attribute matching mechanism for elastic registration (HAMMER), which demonstrated relatively high accuracy in inter-subject registration of MR brain images. However, the HAMMER algorithm requires the pre-segmentation of brain tissues, since the attribute vectors used to hierarchically match the corresponding pairs o...

Image Registration in Airborne Remote Sensing

MICHAEL WILLIAMS FUNK. Image registration in airborne remote sensing. (Under the direction of DR. KALPATHI R. SUBRAMANIAN) The primary topic is an algorithm for image registration which is especially wellsuited to the types of images found in airborne remote sensing applications. A brief overview of the field of remote sensing is given, prior to discussion of the registration algorithm itself. ...

Remote sensing image registration via active contourmodel

Image registration is the process by which we determine a transformation that provides the most accurate match between two images. The search for the matching transformation can be automated with the use of a suitable metric, but it can be very time-consuming and tedious. In this paper, we introduce a registration algorithm that combines active contour segmentation together with mutual informat...

Performance Evaluation of Local Detectors in the Presence of Noise for Multi-Sensor Remote Sensing Image Matching

Automatic, efficient, accurate, and stable image matching is one of the most critical issues in remote sensing, photogrammetry, and machine vision. In recent decades, various algorithms have been proposed based on the feature-based framework, which concentrates on detecting and describing local features. Understanding the characteristics of different matching algorithms in various applications ...

The Importance of Image Registration for Remote Sensing