Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images (Record no. 2983469)

MARC details
000 -LEADER
fixed length control field 06036naaaa2201453uu 4500
001 - CONTROL NUMBER
control field https://directory.doabooks.org/handle/20.500.12854/76425
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220714163731.0
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number books978-3-0365-0987-7
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036509860
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783036509877
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.3390/books978-3-0365-0987-7
Terms of availability doi
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title English
042 ## - AUTHENTICATION CODE
Authentication code dc
072 #7 - SUBJECT CATEGORY CODE
Subject category code GP
Source bicssc
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Bazi, Yakoub
Relator code edt
9 (RLIN) 1577543
245 10 - TITLE STATEMENT
Title Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc Basel, Switzerland
Name of publisher, distributor, etc MDPI - Multidisciplinary Digital Publishing Institute
Date of publication, distribution, etc 2021
300 ## - PHYSICAL DESCRIPTION
Extent 1 electronic resource (438 p.)
506 0# - RESTRICTIONS ON ACCESS NOTE
Terms governing access Open Access
Source of term star
Standardized terminology for access restriction Unrestricted online access
520 ## - SUMMARY, ETC.
Summary, etc The rapid growth of the world population has resulted in an exponential expansion of both urban and agricultural areas. Identifying and managing such earthly changes in an automatic way poses a worth-addressing challenge, in which remote sensing technology can have a fundamental role to answer-at least partially-such demands. The recent advent of cutting-edge processing facilities has fostered the adoption of deep learning architectures owing to their generalization capabilities. In this respect, it seems evident that the pace of deep learning in the remote sensing domain remains somewhat lagging behind that of its computer vision counterpart. This is due to the scarce availability of ground truth information in comparison with other computer vision domains. In this book, we aim at advancing the state of the art in linking deep learning methodologies with remote sensing image processing by collecting 20 contributions from different worldwide scientists and laboratories. The book presents a wide range of methodological advancements in the deep learning field that come with different applications in the remote sensing landscape such as wildfire and postdisaster damage detection, urban forest mapping, vine disease and pavement marking detection, desert road mapping, road and building outline extraction, vehicle and vessel detection, water identification, and text-to-image matching.
540 ## - TERMS GOVERNING USE AND REPRODUCTION NOTE
Terms governing use and reproduction Creative Commons
-- https://creativecommons.org/licenses/by/4.0/
-- cc
-- https://creativecommons.org/licenses/by/4.0/
546 ## - LANGUAGE NOTE
Language note English
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Research & information: general
Source of heading or term bicssc
9 (RLIN) 928234
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Uncontrolled term synthetic aperture radar
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Uncontrolled term despeckling
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Uncontrolled term multi-scale
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Uncontrolled term LSTM
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Uncontrolled term sub-pixel
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Uncontrolled term high-resolution remote sensing imagery
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Uncontrolled term road extraction
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Uncontrolled term machine learning
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Uncontrolled term DenseUNet
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Uncontrolled term scene classification
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Uncontrolled term lifting scheme
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Uncontrolled term convolution
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Uncontrolled term CNN
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Uncontrolled term image classification
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Uncontrolled term deep features
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Uncontrolled term hand-crafted features
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Uncontrolled term Sinkhorn loss
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Uncontrolled term remote sensing
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Uncontrolled term text image matching
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Uncontrolled term triplet networks
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Uncontrolled term EfficientNets
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Uncontrolled term LSTM network
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Uncontrolled term convolutional neural network
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Uncontrolled term water identification
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Uncontrolled term water index
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Uncontrolled term semantic segmentation
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Uncontrolled term high-resolution remote sensing image
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Uncontrolled term pixel-wise classification
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Uncontrolled term result correction
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Uncontrolled term conditional random field (CRF)
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Uncontrolled term satellite
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Uncontrolled term object detection
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Uncontrolled term neural networks
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Uncontrolled term single-shot
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Uncontrolled term deep learning
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Uncontrolled term global convolution network
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Uncontrolled term feature fusion
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Uncontrolled term depthwise atrous convolution
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Uncontrolled term high-resolution representations
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Uncontrolled term ISPRS vaihingen
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Uncontrolled term Landsat-8
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Uncontrolled term faster region-based convolutional neural network (FRCNN)
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Uncontrolled term single-shot multibox detector (SSD)
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Uncontrolled term super-resolution
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Uncontrolled term remote sensing imagery
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Uncontrolled term edge enhancement
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Uncontrolled term satellites
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Uncontrolled term open-set domain adaptation
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Uncontrolled term adversarial learning
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Uncontrolled term min-max entropy
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Uncontrolled term pareto ranking
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Uncontrolled term SAR
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Uncontrolled term Sentinel-1
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Uncontrolled term Open Street Map
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Uncontrolled term U-Net
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Uncontrolled term desert
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Uncontrolled term road
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Uncontrolled term infrastructure
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Uncontrolled term mapping
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Uncontrolled term monitoring
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Uncontrolled term deep convolutional networks
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Uncontrolled term outline extraction
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Uncontrolled term misalignments
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Uncontrolled term nearest feature selector
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Uncontrolled term hyperspectral image classification
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Uncontrolled term two stream residual network
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Uncontrolled term Batch Normalization
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Uncontrolled term plant disease detection
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Uncontrolled term precision agriculture
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Uncontrolled term UAV multispectral images
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Uncontrolled term orthophotos registration
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Uncontrolled term 3D information
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Uncontrolled term orthophotos segmentation
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Uncontrolled term wildfire detection
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Uncontrolled term convolutional neural networks
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Uncontrolled term densenet
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Uncontrolled term generative adversarial networks
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Uncontrolled term CycleGAN
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Uncontrolled term data augmentation
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Uncontrolled term pavement markings
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Uncontrolled term visibility
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Uncontrolled term framework
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Uncontrolled term urban forests
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Uncontrolled term OUDN algorithm
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Uncontrolled term object-based
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Uncontrolled term high spatial resolution remote sensing
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Uncontrolled term Generative Adversarial Networks
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Uncontrolled term post-disaster
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Uncontrolled term building damage assessment
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Uncontrolled term anomaly detection
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Uncontrolled term Unmanned Aerial Vehicles (UAV)
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Uncontrolled term xBD
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Uncontrolled term feature engineering
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Uncontrolled term orthophoto
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Uncontrolled term unsupervised segmentation
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pasolli, Edoardo
Relator code edt
9 (RLIN) 1577544
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Bazi, Yakoub
Relator code oth
9 (RLIN) 1577543
700 1# - ADDED ENTRY--PERSONAL NAME
Personal name Pasolli, Edoardo
Relator code oth
9 (RLIN) 1577544
856 40 - ELECTRONIC LOCATION AND ACCESS
Host name www.oapen.org
Uniform Resource Identifier <a href="https://mdpi.com/books/pdfview/book/3860">https://mdpi.com/books/pdfview/book/3860</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/20.500.12854/76425">https://directory.doabooks.org/handle/20.500.12854/76425</a>
-- 0
Public note DOAB: description of the publication
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