Abstract:Beginning with related basic concepts, the derivation of the blackbody radiation law by MATLAB is presented. It is assumed that the energy of photons is nhv (where n is an integer number, h is Plank constant and v is radiation frequency) in the existing theory. The Generalized Plank law and Stefan-Boltzman law with photon energy of αhv (0<α<1, 2, ...) are given. The possibility of photon splitting is discussed.

Abstract:A high speed, high resolution, small-size and low-power-consumption imaging system based on a LUPA1300-2 CMOS image sensor is designed. By taking a FPGA as a sequential control program development platform, several modular programs including sensor driving, data processing, communication and data transfer etc are designed by a Verilog hardware description language. The function and structure of each module are analyzed and explained. The hardware circuit is developed on the basis of the imaging system frame proposed. Then, an imaging experiment is carried out on the whole imaging system. The experimental result shows that its driving timing is proper, its communication with the computer is effective, its data transfer is correct, its image quality is high and it can operate stably and reliably.

Abstract:Some characteristics such as nonlinearity, time variant and time delay of an industrial temperature control system have great influence on the fastness and accuracy of temperature control. This may result in great danger in practical production. How to realize accurate infrared temperature measurement of a kiln body and how to use an adaptive fuzzy PID algorithm for corresponding control are presented. Some results simulated by Matlab are shown. The results show that this kind of algorithms can play a critical role in the performance improvement of an infrared temperature measurement system for a kiln body.

Abstract:The driving algorithm for generating infrared scenes in an infrared imaging hardware-in-the-loop simulation system in real time is studied. According to the engineering application of real-time infrared scene generation in the infrared imaging hardware-in-the-loop simulation system, the initial war situation scene mapping algorithm for infrared scenes, the real-time mapping algorithm for dynamic war situation scenes and the selection algorithm for scene aiming points in real-time simulation are designed. Several problems of the application of real-time infrared scene generation in the infrared imaging hardware-in-the-loop simulation system are solved. These algorithms are verified in multi-mode static and dynamic simulation and tests.

Abstract:In some complex scenes, infrared targets are difficult to be detected and recognized due to the interference of clusters and noise. A moving infrared target enhancement algorithm based on optical flow is proposed. In the algorithm, a moving target is enhanced by using the velocity field difference between the target and the background. The algorithm is optimized on the basis of the parallel processing mode of a Graphic Processor Unit (GPU). It can be implemented on line in real time. Compared with the frame difference method and background subtraction method commonly used in moving target detection, this algorithm is more robust. Because the moving target in the actual infrared video is enhanced, better real-time target enhancement effectiveness of the algorithm is revealed.

Abstract:According to the theory of passive millimeter wave detection, the theoretical formulas of output signal, detection probability and target area of passive millimeter wave detection are given. The curves of detection probability and signal-to-noise ratio are presented. The approximate calculation formulas for calculating the output signals from a passive millimeter wave sensor, detection probability and target area in an approximately linear range are derived. The formulas are used to explain a coincidence phenomenon in a certain test of passive millimeter wave detection successfully. The conclusion reached is of a reference value to the related passive millimeter wave detection.

Abstract:A method for fast and non-destructively detecting soil pH by using the color features in multispectral images is proposed. First, a 2 CCD multispectral imager is used to obtain the R, G, B and NIR images of each soil sample respectively. The multispectral images are converted in color space, i.e. the RGB color spaces are converted to the HSV color space and the Lab color space. Then, the color features of the multispectral images are extracted in different color spaces. Finally, the extracted color features are used as input variables, so as to establish a prediction model of soil pH by using PLS and LS-SVM algorithms. The experimental result shows that it is feasible to detect soil pH by using the multispectral image technology. The best result is given by the prediction model established. Its determination coefficient (R2) and root mean square error (RMSEP) value are 0.91 and 0.34 respectively.