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Change Detection in Synthetic Aperture Radar Images Based on a Generalized Gamma Deep Belief Networks
Change detection from synthetic aperture radar (SAR) images is of great significance for natural environmental protection and human societal activity, which can be regarded as the process of assigning a class label (changed or unchanged) to each of the image pixels. This paper presents a novel class...
| Autores principales: | , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
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MDPI
2021
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| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8704495/ https://www.ncbi.nlm.nih.gov/pubmed/34960383 http://dx.doi.org/10.3390/s21248290 |