Very High Resolution (VHR) Satellite Imagery: Processing and Applications
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...
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| Formato: | Online |
| Idioma: | inglês |
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MDPI - Multidisciplinary Digital Publishing Institute
2021
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| Acesso em linha: | 42624 |
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| _version_ | 1869524145441603584 |
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| author | Marcello, Javier Eugenio, Francisco |
| author_browse | Eugenio, Francisco Marcello, Javier |
| author_facet | Marcello, Javier Eugenio, Francisco |
| author_sort | Marcello, Javier |
| collection | Directory of Open Access Books |
| description | 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. |
| format | Online |
| id | doab-20.500.12854ir-62022 |
| institution | Directory of Open Access Books |
| language | eng |
| publishDate | 2021 |
| publishDateRange | 2021 |
| publishDateSort | 2021 |
| publisher | MDPI - Multidisciplinary Digital Publishing Institute |
| publisherStr | MDPI - Multidisciplinary Digital Publishing Institute |
| record_format | ojs |
| spelling | doab-20.500.12854ir-620222024-04-11T15:10:25Z Very High Resolution (VHR) Satellite Imagery: Processing and Applications Marcello, Javier Eugenio, Francisco TA1-2040 T1-995 TA170-171 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology 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. 2021-02-12T07:35:59Z 2021-02-12T07:35:59Z 2019-12-09 11:49:16 2019 book 42624 9783039217571 9783039217564 https://directory.doabooks.org/handle/20.500.12854/62022 eng application/octet-stream Attribution-NonCommercial-NoDerivatives 4.0 International https://mdpi.com/books/pdfview/book/1776 MDPI - Multidisciplinary Digital Publishing Institute 10.3390/books978-3-03921-757-1 10.3390/books978-3-03921-757-1 46cabcaa-dd94-4bfe-87b4-55023c1b36d0 9783039217571 9783039217564 262 open access |
| spellingShingle | TA1-2040 T1-995 TA170-171 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology Marcello, Javier Eugenio, Francisco Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
| title | Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
| title_full | Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
| title_fullStr | Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
| title_full_unstemmed | Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
| title_short | Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
| title_sort | very high resolution vhr satellite imagery processing and applications |
| topic | TA1-2040 T1-995 TA170-171 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| topic_facet | TA1-2040 T1-995 TA170-171 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 thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues::TBX History of engineering and technology |
| url | 42624 |
| work_keys_str_mv | AT marcellojavier veryhighresolutionvhrsatelliteimageryprocessingandapplications AT eugeniofrancisco veryhighresolutionvhrsatelliteimageryprocessingandapplications |