Terahertz (THz) radar system, with excellent potentials such as high-resolution and strong penetration capability, is promising in the field of anti-camouflage. Camouflage net is processed by cutting the camouflage net material, which is fabricated on pre-processing substrate by depositing coatings with camouflage abilities in different bands, such as visible, infrared and radar. In this paper, we concentrate on the propagation characteristic of THz wave in camouflage net material. Firstly, function and structure of camouflage net were analyzed. Then the advantage and appliance of terahertz time-domain spectroscopy (THz-TDS) was introduced. And the relevant experiments were conducted by utilizing THz-TDS. The results obtained indicate that THz wave has better penetration capacity in camouflage net material, which demonstrates the feasibility of using THz radar to detect those targets covered with camouflage net.
The on-line measurement of the main component contents is essential for production, detection and identification of compound fertilizer. Using developed VIS-NIR sensors for on-line measurement of the main component contents in compound fertilizer, primary results about nitrogen (N), phosphorus pentoxide (P<sub>2</sub>O<sub>5</sub>) and potassium oxide (K<sub>2</sub>O) were reported. A visible (VIS) and near infrared (NIR) spectrophotometer (Ocean Optics), with a measurement range of 360.18–2221.53 nm was used to measure fertilizer spectra in reflectance mode. By using principal component analysis (PCA) and mahalanobis distance method, 3 outlier samples were detected and eliminated from 174 samples firstly. Then these models of three components with the 124 samples in calibration set were established using principal component regress (PCR) and partial least squares regression (PLS) coupled respectively with the full cross-validation technique after preprocessing the original spectrum with different methods. These models were used to estimate the contents of N, P<sub>2</sub>O<sub>5</sub> and K<sub>2</sub>O of the other 47 samples in predicted set. The research results showed that the method could be applied to rapid measurement to the main component contents in compound fertilizer. Compared with the traditional analysis method, the on-line measurement could do it rapidly, inexpensively and pollution-freely. It suggested the potential use of the VIS–NIR sensing system for on-line measurement in the production, detection and identification process of compound fertilizer.
In order to acquire more information of the scene to improve the veracity of recognition of camouflage targets, an electrically tunable hyper-spectral detection system, which is based on acousto-optic tunable filter (AOTF), was designed. The system includes collimated optical system, AOTF and its controller, imaging lens, CCD sensor and so on. The system has a property of being fast and electronically tunable, so a quick scan of spectrum over the waveband of 550 nm ~ 900nm can be realized. A series of hyper-spectral imaging experiments about a camouflage aluminum plane, coated with three typical camouflage pigments (dark green, light green and khaki) within a complex meadow environment were accomplished at specific wavelengths from 580 nm to 840 nm with 10 nm spectral resolution. The hyper-spectral characteristics of three pigments and various backgrounds were acquired to deduce the intensity contrast information between them. The experimental results demonstrated that the reflex characteristic of three typical camouflage pigments were different from that of natural background. The several wavelengths or wave bands, which were used to detect and recognize the man-made targets placed in typical woodland environment, were obtained by analyzing the experimental data.