TY  - BOOK
AU  - Ziemann, Amanda||Vivone, Gemine||Addesso, Paolo
TI  - Remote Sensing for Target Object Detection and Identification
KW  - satellite videos||nonconvex tensor robust principle component analysis||infrared||phase unwrapping||non-independent and identical distribution (non-i.i.d.) mixture of Gaussians||dictionary construction||Color Markov Chain||convolutional neural networks||ground-based detection||hazard prevention||ADMM||observability||pixel-tracking||multi-scale pyramidal features||thermal infrared target tracking||visible||component mixture model||hyperspectral imagery||flux density||particle filter framework||processor||detecting distance||rivers water-flow elevation estimation||non-convex optimization||convolutional neural networks (CNNs)||infrared small-faint target detection||target detection||infrared imaging||synthetic aperture radar (SAR)||low-rank representation||local prior analysis||remote sensing images||hardware architecture||remote sensing image||unsupervised saliency model||variational Bayesian||SAR||hyperspectral||anomaly detection||infrared small target detection||object detection||partial sum of the tensor nuclear norm||superpixel segmentation||multi-model||deep learning||mask sparse representation||oil tank detection||tiny and dim target detection||HSI reconstruction||part-based||semantic features||region proposals||unmanned aerial vehicle||object matching||hidden danger identification||remote sensing imagery||target identification||Lp-norm constraint||low rank sparse decomposition||bottom-up and top-down||contextual information||multi-scale strategies||sparse coding||very-high-resolution (VHR) remote sensing imagery||vehicle detection||alternating direction method of multipliers||adaptive weighting||flood hazard||tower failure||earth entry vehicle
UR  - https://mdpi.com/books/pdfview/book/2070
ER  -