Proc. SPIE. 10846, Optical Sensing and Imaging Technologies and Applications
KEYWORDS: Hyperspectral imaging, Human-machine interfaces, Imaging systems, Cameras, Satellites, Control systems, Telecommunications, Satellite communications, Data communications, Global Positioning System
In order to realize the self-test of the camera controller, based on the analysis of the basic functions and test tasks of the Star, GPS and other units, a design scheme of the camera sub-system geophysical controller is proposed, The design and implementation of the bus command, OC switch instruction, auxiliary data release and analog telemetry parameters are described in detail. The preparation of the host computer command and telemetry interface software is carried out in a large number of tests and tested with the controller, and the test results were analyzed and summarized.
In order to solve the problem high-performance real-time, high-speed the image data storage generated by the detector. In this thesis, it choose an suitable portable image storage hard disk of SATA interface, it is relative to the existing storage media. It has a large capacity, high transfer rate, inexpensive, power-down data which is not lost, and many other advantages. This paper focuses on the link layer of the protocol, analysis the implementation process of SATA2.0 protocol, and build state machines. Then analyzes the characteristics resources of Kintex-7 FPGA family, builds state machines according to the agreement, write Verilog implement link layer modules, and run the simulation test. Finally, the test is on the Kintex-7 development board platform. It meets the requirements SATA2.0 protocol basically.
In order to alarm the fire and analyze the material burned, the high efficiency imaging system is designed to monitor the fire. The system selects the high performance CMOS image sensor, utilizing real-time DSP with higher computing power, it is designed based on DSP C6748 by IIC serial port flame detectors video camera’s registers, and the generated image data sent to DSP by VPIF interface, the image algorithm is transplanted to DSP, at last, the system will alarm the fire and output spectral characteristics of the burning material via Ethernet interface. This system completes algorithm hardware realization, and the algorithm can detect image in real-time and extract the effect of spectral characteristics of burning material, so that the algorithm processing can speed up from minute level on the PC to the sub-second level.