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

• Autore: Marcello Javier
• Pubblicazione: MDPI - Multidisciplinary Digital Publishing Institute, 2019
• Descrizione fisica: 1 electronic resource (262 p.)
• Soggetto non controllato: 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
• Persona (resp. second.): EugenioFrancisco
• Sommario/riassunto: Recently, growing interest in the use of remote sensing imagery has appeared to provide synoptic maps of water quality parameters in coastal and inner water ecosystems;, monitoring of complex land ecosystems for biodiversity conservation; precision agriculture for the management of soils, crops, and pests; urban planning; disaster monitoring, etc. However, for these maps to achieve their full potential, it is important to engage in periodic monitoring and analysis of multi-temporal changes. In this context, very high resolution (VHR) satellite-based optical, infrared, and radar imaging instruments provide reliable information to implement spatially-based conservation actions. Moreover, they enable observations of parameters of our environment at greater broader spatial and finer temporal scales than those allowed through field observation alone. In this sense, recent very high resolution satellite technologies and image processing algorithms present the opportunity to develop quantitative techniques that have the potential to improve upon traditional techniques in terms of cost, mapping fidelity, and objectivity. Typical applications include multi-temporal classification, recognition and tracking of specific patterns, multisensor data fusion, analysis of land/marine ecosystem processes and environment monitoring, etc. This book aims to collect new developments, methodologies, and applications of very high resolution satellite data for remote sensing. The works selected provide to the research community the most recent advances on all aspects of VHR satellite remote sensing.
• Altri titoli varianti: Very High Resolution
• Titolo autorizzato: Very High Resolution (VHR) Satellite Imagery: Processing and Applications
• ISBN: 3-03921-757-7
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Lingua di pubblicazione: Inglese
• Record Nr.: 9910367747503321
• Lo trovi qui: Univ. Federico II