To satisfy the requirement of real-time and rapid processing of Scale-Invariant Feature Transform(SIFT) algorithm for remote sensing images of large-scale Unmanned Aerial Vehicle (UAV) network on the scene, an implementation scheme of the algorithm by using the hardware multiplier of Digital Signal Processor(DSP)kernel was proposed to process the multiplication of single-precision floating-point pixel data. Firstly,according to the characteristics of data input and output of the hardware multiplier with DSP kernel,the image data structure and the image function of SIFT algorithm were reconstructed in order to make the hardware multiplier perform the multiplication calculation of single-precision floating-point pixel data of SIFT algorithm. Secondly,the software pipelining technology was adopted to rearrange the iterative computation,so as to enhance the parallel computing ability of the algorithm. Finally,the dynamic data produced in the algorithm calculation process were transferred to the Double Data Rate 3 synchronous dynamic random access memory(DDR3)to enlarge the storage space of the algorithm data. Experimental results show that the SIFT algorithm on DSP platform is able to achieve high-precision and fast processing for 1 000×750 remote sensing images of UAV,and the scheme satisfies the requirement of real-time and rapid processing of SIFT algorithm for remote sensing images of UAV network on the scene.

The problem of multiple Autonomous Underwater Vehicles (AUV) collaborative task allocation for information acquisition in the underwater detection network was researched. Firstly, a comprehensive model of underwater acoustic monitoring network system was constructed considering the influence of network system sensor nodes status and communication channel status synthetically. Secondly, because of the multi-interference factors under water, with the inaccuracy of the model generation considered, and the multi-AUV task allocation system was modeled as a robust Restless Bandits Problem (RBP) based on the theory of reinforce learning. Lastly, the robust Whittle algorithm was proposed to solve the RBP problem to get the task allocation policy of multi-AUV. Simulation results show that when the system selected 1, 2 and 3 targets, the system cumulative return performance of the robust allocation policy improves by 5.5%, 12.3% and 9.6% respectively compared with that of the allocation strategy without interference factors considered, proving the effectiveness of the proposed approaches.

Aiming at the problems of automatic control of camera load parameters and real-time tracking of the flight path in the remote sensing photography of Unmanned Aerial Vehicle (UAV), this paper presented a design scheme which could complete camera load control and aerial control automatically. First, the information of real-time geographic location and environment forecasting could be acquired in the system according to experimental requirements, and the parameter encoding was completed based on the table of camera control parameters; second, the custom protocol instruction set was sent to hardware control circuits through the communication port to complete the set of camera load parameters, and photography could be completed. Meanwhile, the geographic coordinate information of real-time flight path was recorded by the route planning software. The system can combine hardware control platform with software data processing, to achieve collaborative control. The UAV experiment results show that compared with the mode of single parameter aerial control, the proposed system in this paper can automatically control camera parameters and track real-time flight path according to different photography conditions and photography scenes.

Aiming at efficient data acquisition, real-time precise positioning and attitude measurement problems of geostress low-frequency electromagnetic monitoring, real-time data acquisition system was designed and implemented in combination with positioning and attitude measurement module. The hardware system took ARM microprocessor (S3C6410) as control core based on embedded Linux. The hardware and software design architecture were introduced in detail. In addition, the algorithm of positioning and attitude measurement characteristics data extraction was proposed. Monitoring terminal of data acquisition and processing was designed using Qt/Embedded GUI programming technique based on LCD (Liquid Crystal Display) and achieved human-computer interaction. Meanwhile, the required data could be real-time stored to SD card. The results of system debugging and actual field experiments indicate that the system can complete the positioning and attitude data acquisition and processing, effectively solve the problem of real-time positioning for in-situ monitoring. It also can realize geostress low-frequency electromagnetic monitoring with high-speed, real-time and high reliability.

To solve the redundancy of control overhead and allocation time consumption in the address assignment algorithm of Low-Rate Wireless Personal Area Network (LR-WPAN) mesh, a High-efficiency and Low-delay Address Assignment (HLAA) algorithm for LR-WPAN mesh was proposed. By using the process of network access to realize the function of network access and address assignment, and deleting the redundant fields in the address assignment, HLAA had reduced allocation time as well as control overhead in the premise of realizing the function of address allocation. The simulation results show that compared with the original algorithm, HLAA can decrease the control overhead by 22.15%, and reduce the allocation time by 7.68%.

A communication system with several serial ports was developed to realize the communication between On-Board Computer (OBC) and cameras in micro-satellite simulation system. The system was designed in Host-Target model. The Host sever managed the multiplex communications between the host and its clients. It also sent out trigger signal to control five cameras through a Field Programmable Gate Array (FPGA) chipset. In addition, a multiplex serial communication protocol based on RS-232 protocol was proposed to complete the communication. The logic analytical tool SignalTapⅡ was used to capture the real-time signal of FPGA to verify the performance of the system. The results indicate that the system can control and manage a single camera or multiple cameras flexibly.