TY - BOOK ID - 44793 TI - Remote Sensing for Target Object Detection and Identification AU - Vivone, Gemine AU - Addesso, Paolo AU - Ziemann, Amanda PY - 2020 SN - 9783039283323 9783039283330 DB - DOAB KW - anomaly detection KW - hyperspectral imagery KW - low-rank representation KW - dictionary construction KW - HSI reconstruction KW - sparse coding KW - adaptive weighting KW - infrared small target detection KW - local prior analysis KW - nonconvex tensor robust principle component analysis KW - partial sum of the tensor nuclear norm KW - low rank sparse decomposition KW - Lp-norm constraint KW - non-convex optimization KW - alternating direction method of multipliers KW - infrared small target detection KW - convolutional neural networks (CNNs) KW - object detection KW - remote sensing images KW - contextual information KW - part-based KW - multi-model KW - very-high-resolution (VHR) remote sensing imagery KW - object detection KW - multi-scale pyramidal features KW - multi-scale strategies KW - oil tank detection KW - unsupervised saliency model KW - Color Markov Chain KW - bottom-up and top-down KW - hazard prevention KW - flood hazard KW - hidden danger identification KW - tower failure KW - vehicle detection KW - object matching KW - superpixel segmentation KW - unmanned aerial vehicle KW - remote sensing imagery KW - thermal infrared target tracking KW - semantic features KW - mask sparse representation KW - particle filter framework KW - ADMM KW - satellite videos KW - region proposals KW - convolutional neural networks KW - tiny and dim target detection KW - component mixture model KW - object detection KW - remote sensing image KW - deep learning KW - convolutional neural networks (CNNs) KW - hardware architecture KW - processor KW - ground-based detection KW - infrared imaging KW - observability KW - detecting distance KW - earth entry vehicle KW - synthetic aperture radar (SAR) KW - rivers water-flow elevation estimation KW - pixel-tracking KW - phase unwrapping KW - infrared small-faint target detection KW - non-independent and identical distribution (non-i.i.d.) mixture of Gaussians KW - flux density KW - variational Bayesian KW - target detection KW - target identification KW - SAR KW - visible KW - infrared KW - hyperspectral UR - https://www.doabooks.org/doab?func=search&query=rid:44793 AB - 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. ER -