Explore
Very High Resolution (VHR) Satellite Imagery
Francisco Eugenio and Javier Marcello
2019
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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.
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Keywords
- accuracy assessment
- acquisition geometry
- agriculture parcel segmentation
- airborne hypespectral imagery
- atmospheric correction
- beaver dam analogue
- beaver mimicry
- benthic mapping
- building detection
- built-up areas extraction
- canopy height model
- CapsNet
- capsule
- CNN
- compensation unit
- composite error index (CEI)
- Consensus
- Cyanobacteria
- data augmentation
- Deformable CNN
- dimensionality reduction techniques
- edge constraint
- error index of total area (ETA)
- fast marching method
- Faster R-CNN
- feature distillation
- forested mountain
- GaoFen-2 (GF-2)
- greenhouse extraction
- High-resolution satellite imagery
- landslide monitoring
- large displacements
- linear unmixing
- local feature points
- morphological building index
- multi-resolution segmentation (MRS)
- Natural Hazards
- occluded object detection
- over-segmentation index (OSI)
- PrimaryCaps
- QuickBird
- Remote sensing
- remote sensing imagery
- riparian
- road extraction
- saliency index
- scene classification
- seagrass
- semiautomatic
- shadow detection
- Slumgullion landslide
- spiral eddy
- stream restoration
- sub-pixel offset tracking
- submesoscale
- sunglint correction
- super-resolution
- superpixels
- surface convergence
- SVM classification
- synthetic aperture radar
- texture analysis
- threshold stability
- ultra-dense connection
- under-segmentation index (USI)
- urban water mapping
- very high-resolution image
- very high-resolution Pléiades imagery
- video satellite
- water column correction
- water index
- western Baltic Sea
- worldview
- Worldview-2
Links
DOI: 10.3390/books978-3-03921-757-1Editions
