Contents
2018
Volume: 37 Issue 2
20 Article(s)

Export citation format
Sparse and low-rank abundance estimation with structural information
YUAN Jing, ZHANG Yu-Jin, and YANG De-He
Abundance estimation (AE) plays an essential role in the hyperspectral image processing and analysis. Owing to the simplicity and mathematical tractability, various methods based on the constrained linear regression are usually developed to estimate abundance matrix. The obvious limitation of these approaches is that t
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 144 (2018)
Construction and application effects of normalized shaded vegetation index (NSVI)
XU Zhang-Hua, LIN Lu, WANG Qian-Feng, HUANG Xu-Ying, LIU Jian, YU Kun-Yong, and CHEN Chong-Cheng
The spectral features and differences in bright vegetation area, shaded vegetation area and water area were investigated by the experimental data from four medium resolution remote sensing images of ALOS AVNIR-2, CBERS-02B CCD, HJ1A-CCD2 and Landsat 7 ETM. Based on the near-infrared band and normalized difference veget
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 154 (2018)
An improved 16-element small-signal model for InP-based HEMTs
ZHONG Ying-Hui, LI Kai-Kai, LI Meng-Ke, WANG Wen-Bin, SUN Shu-Xiang, LI Hui-Long, DING Peng, and JIN Zhi
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 163 (2018)
PolSAR image classification based on sparse autoencoder and boundary-preserved WMRF
ZHANG Shu-Yin, HOU Biao, JIAO Li-Cheng, and WU Qian
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 177 (2018)
The influence of interface traps on the performance of a photovoltaic InSb infrared detector
CHEN Xiao-Dong, YANG Cui, LIU Peng, SHAO Xiao-Peng, ZHANG Xiao-Lei, and LYU Yan-Qiu
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 192 (2018)
Modified point target detection algorithm based on Markov random field
LIU Feng-Yi, HU Yong, RAO Peng, and GONG Cai-Lan
This paper focuses on point target detection with single frame under complicated background and suggests the conception of valid pixel detection. A modified point target detection method based on Markov Random Field was proposed in terms of local correlation of point target and local difference of target and background
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 212 (2018)
Point target detection in infrared over-sampling scanning images using deep convolutional neural networks
LIN Liang-Kui, WANG Shao-You, and TANG Zhong-Xing
Aiming at the characteristics of infrared over-sampling scanning imaging, an infrared point target detection method based on DCNN (Deep Convolution Neural Network) is proposed. Firstly, a regressive-type DCNN is designed to suppress the background clutter of the scanning image. The network does not contain any pooling
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 219 (2018)
Hapke′s parameters inverse method of Lunar analog sample
XU Xue-Sen, LIU Jian-Jun, LIU Bin, and LIU Da-Wei
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 227 (2018)
Elimination technology of noise introduced by top-up injection in synchrotron radiation infrared beamline
ZHU Hua-Chun, TONG Ya-Jun, JI Te, PENG Wei-Wei, CHEN Min, and XIAO Ti-Qiao
In order to enhance the photon flux and brightness of a synchrotron source, and improve the thermal stability of optical elements, synchrotron radiation source often operates in the qusi-constant current injection (Top-Up) mode. The Top-Up mode can maintain a stable beam current in the storage ring of Synchrotron Sourc
Journal of Infrared and Millimeter Waves
  • Publication Date: Jan. 01, 1900
  • Vol. 37, Issue 2, 251 (2018)