Result Number | Material Type | Add to My Shelf Action | Record Details and Options |
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1 |
Material Type: Artigo
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A Theoretical Framework for Unsupervised Change Detection Based on Change Vector Analysis in the Polar DomainBovolo, F. ; Bruzzone, L.IEEE transactions on geoscience and remote sensing, 2007-01, Vol.45 (1), p.218-236 [Periódico revisado por pares]New York, NY: IEEETexto completo disponível |
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2 |
Material Type: Artigo
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A Multilevel Parcel-Based Approach to Change Detection in Very High Resolution Multitemporal ImagesBovolo, F.IEEE geoscience and remote sensing letters, 2009-01, Vol.6 (1), p.33-37 [Periódico revisado por pares]Piscataway: IEEETexto completo disponível |
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3 |
Material Type: Artigo
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A Novel Approach to Unsupervised Change Detection Based on a Semisupervised SVM and a Similarity MeasureBovolo, F. ; Bruzzone, L. ; Marconcini, M.IEEE transactions on geoscience and remote sensing, 2008-07, Vol.46 (7), p.2070-2082 [Periódico revisado por pares]New York, NY: IEEETexto completo disponível |
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4 |
Material Type: Artigo
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A Split-Based Approach to Unsupervised Change Detection in Large-Size Multitemporal Images: Application to Tsunami-Damage AssessmentBovolo, F. ; Bruzzone, L.IEEE transactions on geoscience and remote sensing, 2007-06, Vol.45 (6), p.1658-1670 [Periódico revisado por pares]New York: IEEETexto completo disponível |
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5 |
Material Type: Artigo
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A detail-preserving scale-driven approach to change detection in multitemporal SAR imagesBovolo, F. ; Bruzzone, L.IEEE transactions on geoscience and remote sensing, 2005-12, Vol.43 (12), p.2963-2972 [Periódico revisado por pares]New York, NY: IEEETexto completo disponível |
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6 |
Material Type: Ata de Congresso
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A 3D CNN APPROACH FOR CHANGE DETECTION IN HR SATELLITE IMAGE TIME SERIES BASED ON A PRETRAINED 2D CNNMeshkini, K. ; Bovolo, F. ; Bruzzone, L.International archives of the photogrammetry, remote sensing and spatial information sciences., 2022, Vol.XLIII-B3-2022, p.143-150 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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7 |
Material Type: Artigo
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TEMPORALLY TRANSFERABLE MACHINE LEARNING MODEL FOR TOTAL SUSPENDED MATTER RETRIEVAL FROM SENTINEL-2Niroumand-Jadidi, M. ; Bovolo, F.ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2022-05, Vol.V-3-2022, p.339-345 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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8 |
Material Type: Artigo
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A support vector domain method for change detection in multitemporal imagesBovolo, F. ; Camps-Valls, G. ; Bruzzone, L.Pattern recognition letters, 2010-07, Vol.31 (10), p.1148-1154 [Periódico revisado por pares]Amsterdam: Elsevier B.VTexto completo disponível |
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9 |
Material Type: Artigo
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WATER QUALITY RETRIEVAL AND ALGAL BLOOM DETECTION USING HIGH-RESOLUTION CUBESAT IMAGERYNiroumand-Jadidi, M. ; Bovolo, F.ISPRS annals of the photogrammetry, remote sensing and spatial information sciences, 2021-06, Vol.V-3-2021, p.191-195 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |
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10 |
Material Type: Ata de Congresso
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AN EXPLAINABLE CONVOLUTIONAL AUTOENCODER MODEL FOR UNSUPERVISED CHANGE DETECTIONBergamasco, L. ; Saha, S. ; Bovolo, F. ; Bruzzone, L.International archives of the photogrammetry, remote sensing and spatial information sciences., 2020, Vol.XLIII-B2-2020, p.1513-1519 [Periódico revisado por pares]Gottingen: Copernicus GmbHTexto completo disponível |