Airfield detection based on JPEG2000 compressed domain

Airfield detection based on JPEG2000 compressed domain

With the rapid increase of optical remote sensing (RS) images, on-orbit specific target detection has been facing more and more challenges: limited processing environment, wireless bandwidth, space, power and storage. To resolve this issue, visual characteristics in the compressed domain are exploit...

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Bibliographic Details
Main Authors: Chenhui Duan, Baojun Zhao, Linbo Tang, Cheng Li, Chen Li
Format: Article
Language:English
Published: Wiley 2019-10-01
Series:The Journal of Engineering
Subjects:
image classification
wavelet transforms
image segmentation
object detection
support vector machines
feature extraction
image coding
geophysical image processing
data compression
remote sensing
line segment detection
airfield candidates
rs images
nonstructural regions
structural saliency map
raw jpeg2000 code streams
airfield detection framework
saliency method
on-orbit specific target detection
optical remote sensing images
jpeg2000 compressed domain
detection rate
final detection results
Online Access:https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0538

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https://digital-library.theiet.org/content/journals/10.1049/joe.2019.0538

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