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Very High Resolution (VHR) Satellite Imagery: Processing and Applications

Resumen/Descripción – provisto por la editorial

No disponible.

Palabras clave – provistas por la editorial

very high-resolution Pléiades imagery; surface convergence; data augmentation; acquisition geometry; SVM classification; urban water mapping; beaver dam analogue; agriculture parcel segmentation; morphological building index; airborne hypespectral imagery; sunglint correction; water index; over-segmentation index (OSI); High-resolution satellite imagery; multi-resolution segmentation (MRS); GaoFen-2 (GF-2); benthic mapping; scene classification; greenhouse extraction; edge constraint; Deformable CNN; built-up areas extraction; ultra-dense connection; seagrass; beaver mimicry; forested mountain; natural hazards; remote sensing; dimensionality reduction techniques; road extraction; landslide monitoring; Slumgullion landslide; synthetic aperture radar; building detection; Worldview-2; saliency index; under-segmentation index (USI); texture analysis; fast marching method; video satellite; CNN; capsule; super-resolution; feature distillation; shadow detection; PrimaryCaps; semiautomatic; compensation unit; superpixels; riparian; QuickBird; submesoscale; linear unmixing; accuracy assessment; composite error index (CEI); cyanobacteria; local feature points; Faster R-CNN; occluded object detection; error index of total area (ETA); large displacements; threshold stability; remote sensing imagery; water column correction; canopy height model; spiral eddy; sub-pixel offset tracking; consensus; stream restoration; western Baltic Sea; Worldview; very high-resolution image; CapsNet; atmospheric correction

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Información

Tipo de recurso:

libros

ISBN electrónico

978-3-03921-757-1

País de edición

Suiza