Dare, Paul Maxwell;
(1999)
New techniques for the automatic registration of microwave and optical remotely sensed images.
Doctoral thesis (Ph.D), UCL (University College London).
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Abstract
Remote sensing is a remarkable tool for monitoring and mapping the land and ocean surfaces of the Earth. Recently, with the launch of many new Earth observation satellites, there has been an increase in the amount of data that is being acquired, and the potential for mapping is greater than ever before. Furthermore, sensors which are currently operational are acquiring data in many different parts of the electromagnetic spectrum. It has long been known that by combining images that have been acquired at different wavelengths, or at different times, the ability to detect and recognise features on the ground is greatly increased. This thesis investigates the possibilities for automatically combining radar and optical remotely sensed images. The process of combining images, known as data integration, is a two step procedure: geometric integration (image registration) and radiometric integration (data fusion). Data fusion is essentially an automatic procedure, but the problems associated with automatic registration of multisource images have not, in general, been resolved. This thesis proposes a method of automatic image registration based on the extraction and matching of common features which are visible in both images. The first stage of the registration procedure uses patches as the matching primitives in order to determine the approximate alignment of the images. The second stage refines the registration results by matching edge features. Throughout the development of the proposed registration algorithm, reliability, robustness and automation were always considered priorities. Tests with both small images (512x512 pixels) and full scene images showed that the algorithm could successfully register images to an acceptable level of accuracy.
| Type: | Thesis (Doctoral) |
|---|---|
| Qualification: | Ph.D |
| Title: | New techniques for the automatic registration of microwave and optical remotely sensed images |
| Open access status: | An open access version is available from UCL Discovery |
| Language: | English |
| Additional information: | Thesis digitised by ProQuest. |
| Keywords: | Earth sciences |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10123930 |
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