This work presents the theory, methodology and algorithms used for the development and implementation of a SAR (Synthetic Aperture Radar) Geocoding Processor to correct geometric distortions inherent in the SAR image data formation process. The development of the SAR Geocoding Processor was carried out based on the range-Doppler approach of the SAR image formation together with the geodetic and cartographic foundations to describe the terrain model. The developed SAR Geocoding Processor was implemented in software. Different SAR images (from airborne and spaceborne SAR systems) were geocoded to test the effectiveness of the processor in geocoding and evaluate the accuracy of the geocoded SAR images through ground control points. It was also performed a geocoding and classification, to detect natural and man-made features, of an image obtained during the test phase of the SIVAM Synthetic Aperture Radar (SAR). The classification method was developed in this work.
| Identifer | oai:union.ndltd.org:IBICT/oai:agregador.ibict.br.BDTD_ITA:oai:ita.br:2460 |
| Date | 00 December 2001 |
| Creators | Karlus Alexander Câmara de Macedo |
| Contributors | David Fernandes |
| Publisher | Instituto Tecnológico de Aeronáutica |
| Source Sets | IBICT Brazilian ETDs |
| Language | English |
| Detected Language | English |
| Type | info:eu-repo/semantics/publishedVersion, info:eu-repo/semantics/masterThesis |
| Format | application/pdf |
| Source | reponame:Biblioteca Digital de Teses e Dissertações do ITA, instname:Instituto Tecnológico de Aeronáutica, instacron:ITA |
| Rights | info:eu-repo/semantics/openAccess |
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