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Remote Sensing Data Compression

A huge amount of data is acquired nowadays by different remote sensing systems installed on satellites, aircrafts, and UAV. The acquired data then have to be transferred to image processing centres, stored and/or delivered to customers. In restricted scenarios, data compression is strongly desired o...

Szczegółowa specyfikacja

Zapisane w:
Format: Online
Język:angielski
Wydane: MDPI - Multidisciplinary Digital Publishing Institute 2022
Hasła przedmiotowe:
on-board data compression
CCSDS 123.0-B-2
near-lossless hyperspectral image compression
hyperspectral image coding
graph filterbanks
integer-to-integer transforms
graph signal processing
compact data structure
quadtree
k2-tree
k2-raster
DACs
3D-CALIC
M-CALIC
hyperspectral images
fully convolutional network
semantic segmentation
spectral image
tensor decomposition
HEVC
intra coding
JPEG 2000
high bit-depth compression
multispectral satellite images
crop classification
Landsat-8
Sentinel-2
Elias codes
Simple9
Simple16
PForDelta
Rice codes
hyperspectral scenes
hyperspectral image
lossy compression
real time
FPGA
PCA
JPEG2000
EBCOT
multispectral
hyperspectral
CCSDS
FAPEC
data compression
transform
hyperspectral imaging
on-board processing
GPU
real-time performance
UAV
parallel computing
remote sensing
image quality
image classification
visual quality metrics
spectral–spatial feature
multispectral image compression
partitioned extraction
group convolution
rate-distortion
compressed sensing
invertible projection
coupled dictionary
singular value
task-driven learning
on board compression
transform coding
learned compression
neural networks
variational autoencoder
complexity
real-time compression
on-board compression
real-time transmission
UAVs
compressive sensing
synthetic aperture sonar
underwater sonar imaging
remote sensing data compression
lossless compression
compression impact
computational complexity
thema EDItEUR::T Technology, Engineering, Agriculture, Industrial processes::TB Technology: general issues
Dostęp online:ONIX_20220111_9783036523033_874
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ONIX_20220111_9783036523033_874

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