MARC details
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| fixed length control field |
05371naaaa2201153uu 4500 |
| 001 - CONTROL NUMBER |
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https://directory.doabooks.org/handle/20.500.12854/62022 |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
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| control field |
20220714175837.0 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
books978-3-03921-757-1 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783039217571 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
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| International Standard Book Number |
9783039217564 |
| 024 7# - OTHER STANDARD IDENTIFIER |
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| Standard number or code |
10.3390/books978-3-03921-757-1 |
| Terms of availability |
doi |
| 041 0# - LANGUAGE CODE |
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| Language code of text/sound track or separate title |
English |
| 042 ## - AUTHENTICATION CODE |
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| Authentication code |
dc |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
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| Personal name |
Marcello, Javier |
| Relator code |
auth |
| 9 (RLIN) |
1595791 |
| 245 10 - TITLE STATEMENT |
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| Title |
Very High Resolution (VHR) Satellite Imagery: Processing and Applications |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
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| Name of publisher, distributor, etc |
MDPI - Multidisciplinary Digital Publishing Institute |
| Date of publication, distribution, etc |
2019 |
| 300 ## - PHYSICAL DESCRIPTION |
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| Extent |
1 electronic resource (262 p.) |
| 506 0# - RESTRICTIONS ON ACCESS NOTE |
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| Terms governing access |
Open Access |
| Source of term |
star |
| Standardized terminology for access restriction |
Unrestricted online access |
| 520 ## - SUMMARY, ETC. |
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| Summary, etc |
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. |
| 540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE |
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| Terms governing use and reproduction |
Creative Commons |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
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cc |
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https://creativecommons.org/licenses/by-nc-nd/4.0/ |
| 546 ## - LANGUAGE NOTE |
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| Language note |
English |
| 653 ## - INDEX TERM--UNCONTROLLED |
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| Uncontrolled term |
very high-resolution Pléiades imagery |
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surface convergence |
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| Uncontrolled term |
data augmentation |
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| Uncontrolled term |
acquisition geometry |
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SVM classification |
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urban water mapping |
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beaver dam analogue |
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agriculture parcel segmentation |
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morphological building index |
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airborne hypespectral imagery |
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sunglint correction |
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water index |
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| Uncontrolled term |
over-segmentation index (OSI) |
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| Uncontrolled term |
High-resolution satellite imagery |
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multi-resolution segmentation (MRS) |
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GaoFen-2 (GF-2) |
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benthic mapping |
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scene classification |
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greenhouse extraction |
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edge constraint |
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Deformable CNN |
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built-up areas extraction |
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ultra-dense connection |
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seagrass |
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beaver mimicry |
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forested mountain |
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natural hazards |
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remote sensing |
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dimensionality reduction techniques |
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road extraction |
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landslide monitoring |
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Slumgullion landslide |
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synthetic aperture radar |
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building detection |
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Worldview-2 |
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saliency index |
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under-segmentation index (USI) |
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texture analysis |
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fast marching method |
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video satellite |
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CNN |
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capsule |
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super-resolution |
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feature distillation |
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shadow detection |
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PrimaryCaps |
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semiautomatic |
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compensation unit |
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superpixels |
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riparian |
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QuickBird |
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submesoscale |
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linear unmixing |
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accuracy assessment |
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composite error index (CEI) |
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cyanobacteria |
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local feature points |
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Faster R-CNN |
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occluded object detection |
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error index of total area (ETA) |
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large displacements |
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threshold stability |
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| Uncontrolled term |
remote sensing imagery |
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| Uncontrolled term |
water column correction |
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canopy height model |
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spiral eddy |
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sub-pixel offset tracking |
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consensus |
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stream restoration |
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western Baltic Sea |
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| Uncontrolled term |
Worldview |
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| Uncontrolled term |
very high-resolution image |
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CapsNet |
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| Uncontrolled term |
atmospheric correction |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
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| Personal name |
Eugenio, Francisco |
| Relator code |
auth |
| 9 (RLIN) |
1595792 |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
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| Host name |
www.oapen.org |
| Uniform Resource Identifier |
<a href="https://mdpi.com/books/pdfview/book/1776">https://mdpi.com/books/pdfview/book/1776</a> |
| -- |
0 |
| Public note |
DOAB: download the publication |
| 856 40 - ELECTRONIC LOCATION AND ACCESS |
|---|
| Host name |
www.oapen.org |
| Uniform Resource Identifier |
<a href="https://directory.doabooks.org/handle/20.500.12854/62022">https://directory.doabooks.org/handle/20.500.12854/62022</a> |
| -- |
0 |
| Public note |
DOAB: description of the publication |
