Remote Sensing for Target Object Detection and Identification

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Target object detection and identification are among the primary uses for a remote sensing system. This is crucial in several fields, including environmental and urban monitoring, hazard and disaster management, and defense and military. In recent years, these analyses have used the tremendous amount of data acquired by sensors mounted on satellite, airborne, and unmanned aerial vehicle (UAV) platforms. This book promotes papers exploiting different remote sensing data for target object detection and identification, such as synthetic aperture radar (SAR) imaging and multispectral and hyperspectral imaging. Several cutting-edge contributions, which provide examples of how to select of a technology or another depending on the specific application, will be detailed.

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  • adaptive weighting
  • ADMM
  • alternating direction method of multipliers
  • anomaly detection
  • bottom-up and top-down
  • Color Markov Chain
  • component mixture model
  • contextual information
  • convolutional neural networks
  • convolutional neural networks (CNNs)
  • deep learning
  • detecting distance
  • dictionary construction
  • earth entry vehicle
  • flood hazard
  • flux density
  • ground-based detection
  • hardware architecture
  • hazard prevention
  • hidden danger identification
  • HSI reconstruction
  • hyperspectral
  • hyperspectral imagery
  • Infrared
  • infrared imaging
  • infrared small target detection
  • infrared small-faint target detection
  • local prior analysis
  • low rank sparse decomposition
  • low-rank representation
  • Lp-norm constraint
  • mask sparse representation
  • multi-model
  • multi-scale pyramidal features
  • multi-scale strategies
  • non-convex optimization
  • non-independent and identical distribution (non-i.i.d.) mixture of Gaussians
  • nonconvex tensor robust principle component analysis
  • object detection
  • object matching
  • observability
  • oil tank detection
  • part-based
  • partial sum of the tensor nuclear norm
  • particle filter framework
  • phase unwrapping
  • pixel-tracking
  • processor
  • region proposals
  • remote sensing image
  • remote sensing imagery
  • remote sensing images
  • rivers water-flow elevation estimation
  • SAR
  • satellite videos
  • semantic features
  • sparse coding
  • superpixel segmentation
  • Synthetic Aperture Radar (SAR)
  • target detection
  • Target identification
  • thermal infrared target tracking
  • tiny and dim target detection
  • tower failure
  • unmanned aerial vehicle
  • unsupervised saliency model
  • variational Bayesian
  • vehicle detection
  • very-high-resolution (VHR) remote sensing imagery
  • visible


DOI: 10.3390/books978-3-03928-333-0


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edition cover


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