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Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Advanced Deep Learning Strategies for the Analysis of Remote Sensing Images
Autore Bazi Yakoub
Pubbl/distr/stampa Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Descrizione fisica 1 online resource (438 p.)
Soggetto topico Research and information: general
Soggetto non controllato 3D information
adversarial learning
anomaly detection
Batch Normalization
building damage assessment
CNN
conditional random field (CRF)
convolution
convolutional neural network
convolutional neural networks
CycleGAN
data augmentation
deep convolutional networks
deep features
deep learning
densenet
DenseUNet
depthwise atrous convolution
desert
despeckling
edge enhancement
EfficientNets
faster region-based convolutional neural network (FRCNN)
feature engineering
feature fusion
framework
generative adversarial networks
Generative Adversarial Networks
global convolution network
hand-crafted features
high spatial resolution remote sensing
high-resolution remote sensing image
high-resolution remote sensing imagery
high-resolution representations
hyperspectral image classification
image classification
infrastructure
ISPRS vaihingen
Landsat-8
lifting scheme
LSTM
LSTM network
machine learning
mapping
min-max entropy
misalignments
monitoring
multi-scale
nearest feature selector
neural networks
object detection
object-based
Open Street Map
open-set domain adaptation
orthophoto
orthophotos registration
orthophotos segmentation
OUDN algorithm
outline extraction
pareto ranking
pavement markings
pixel-wise classification
plant disease detection
post-disaster
precision agriculture
remote sensing
remote sensing imagery
result correction
road
road extraction
SAR
satellite
satellites
scene classification
semantic segmentation
Sentinel-1
single-shot
single-shot multibox detector (SSD)
Sinkhorn loss
sub-pixel
super-resolution
synthetic aperture radar
text image matching
triplet networks
two stream residual network
U-Net
UAV multispectral images
Unmanned Aerial Vehicles (UAV)
unsupervised segmentation
urban forests
visibility
water identification
water index
wildfire detection
xBD
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910557747903321
Bazi Yakoub  
Basel, Switzerland, : MDPI - Multidisciplinary Digital Publishing Institute, 2021
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio
Very High Resolution (Vhr) Satellite Imagery : : Processing and Applications / / Javier Marcello, Francisco Eugenio
Autore Marcello Javier
Pubbl/distr/stampa MDPI - Multidisciplinary Digital Publishing Institute, 2019
Descrizione fisica 1 electronic resource (262 p.)
Soggetto topico History of engineering and technology
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
ISBN 9783039217571
3039217577
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910367747503321
Marcello Javier  
MDPI - Multidisciplinary Digital Publishing Institute, 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui