Analogous density foreign matter (ADFM) embedded in soy protein meat semi-finished
(SFSPM) is hidden by SFSPM and has similar acoustic impedance features to SFSPM …

Visible and near-infrared diffuse reflectance spectroscopy has been demonstrated to be a
fast and cheap tool for estimating a large number of chemical and physical soil properties …

Dimensionality reduction is one of the most challenging and crucial issues apart from data
mining, security, and scalability, which have retained much traction due to the ever-growing …

Abstract Nonnegative Matrix Factorization (NMF) has been a popular representation method
for pattern classification problems. It tries to decompose a nonnegative matrix of data …

Abstract Support Vector Data Description (SVDD) is a nonparametric and powerful method
for target detection and classification. The SVDD constructs a minimum hypersphere …

Hyperspectral images provide complex information about the Earth's surface due to their
very high spectral resolution (hundreds of spectral bands per pixel). Effective processing of …

Principal component analysis (PCA) is a popular technique in remote sensing for
dimensionality reduction. While PCA is suitable for data compression, it is not necessarily an …

高光谱影像具有图谱合一的特点, 图像空间信息是遥感影像的重要信息, 但以往基于最佳波段
选择的降维方法中只考虑基于灰度统计的特征空间信息, 忽视了图像空间信息, 而且计算量大 …

Remote sensing multispectral image compression encoder requires low complexity, high
robust, and high performance because it usually works on the satellite where the resources …

In this paper, we propose a super-speed, high reliable and multi-channel optical fiber
transmission system for hyper-spectral SCMOS camera with a large field of view. In our …