2008 IEEE Southwest Symposium on Image Analysis and Interpretation

• Pubblicazione: [Place of publication not identified], : I E E E, 2008
• Descrizione fisica: 1 online resource (xvi, 241 pages)
• Disciplina: 621.367
• Soggetto topico: Image analysis
• Persona (resp. second.): IEEE Staff
• Note generali: Bibliographic Level Mode of Issuance: Monograph
• Sommario/riassunto: Image noise often hinders the analysis and understanding of most remote sensing imagery. Synthetic aperture radar (SAR) images, in particular, suffer from a phenomenon known as speckle. Speckle is the result of the coherent sum of scattering mechanisms within a resolution cell and is typically modeled as multiplicative noise. Numerous approaches have been taken to reduce speckle, the most promising of which are adaptive and statistically based. These algorithms typically take advantage of the statistics of speckle or the multi-scale image structure to detect regions of similarity. Several of these algorithms also take advantage of the multi-channel nature of polarimetric SAR to improve the region detection. This work presents two enhancements to such an algorithm with an application toward polarimetric parameter estimation and change detection and presents results using the Japanese satellite-based Phased Array L-band Synthetic Aperture Radar (PALSAR) system.
• Titolo autorizzato: 2008 IEEE Southwest Symposium on Image Analysis and Interpretation
• ISBN: 9781509079452; 1509079459; 9781424422975; 1424422973
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910145112903321
• Lo trovi qui: Univ. Federico II