@inbook{3291b23d2c89435d8754178ec3430890,
title = "Object Detection with Multi-band Polarization Imaging",
abstract = "Multi-band polarization imaging provides complementary information to conventional imaging sensors, such as material components and surface characteristics. An image data in multi-band polarization imaging makes an array of 3D data cubes. Each pixel corresponds to a certain point in a high dimensional space where a statistical analysis of the data leads to object detection. There are two aspects in object detection using multi-band polarization imaging. From a theoretical background of multivariate statistical analysis, multi-band polarization image data can be considered as common multivariate data to express statistical differences between the target object and the background. Physical properties of multi-band polarization imagery can be replaced by statistical differences to make the traditional optical remote sensing processing methods useful.",
keywords = "Adaptive Kernel Density Estimation, Anomaly Detection Method, Binary Hypothesis Testing, Conventional Image Sensors, Generalized Likelihood Ratio Test",
author = "Yongqiang Zhao and Chen Yi and Quan Pan and Yongmei Cheng and Kong, {Seong G.}",
note = "Publisher Copyright: {\textcopyright} National Defense Industry Press, Beijing and Springer-Verlag Berlin Heidelberg 2016.",
year = "2016",
doi = "10.1007/978-3-662-49373-1_5",
language = "英语",
series = "Advances in Computer Vision and Pattern Recognition",
publisher = "Springer Science and Business Media Deutschland GmbH",
pages = "111--153",
booktitle = "Advances in Computer Vision and Pattern Recognition",
}