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Synthetic aperture Radar (SAR) uses the relative movement of the Radar and the target to pick up echoes of the detected area and image it. In contrast to optical imaging, SAR imaging systems are not affected by weather and time and can detect targets in harsh conditions. Therefore, the SAR image has important application value in military and civilian purposes. This paper introduces the classification of Gaussian process. Gaussian process classification is a probabilistic classification algorithm based on Bass frame. This is a complete probability expression. Based on Gaussian process and SAR data, Gaussian process classification algorithm for SAR images is studied in this paper. In this paper, we introduce the basic principle of Gaussian process, briefly analyze the basic theory of classification and the characteristics of SAR images, provide the evaluation index system of image classification, and give the SAR classification model of Gaussian process. Taking Laplace approximation as an example, several classification algorithms are introduced directly. Based on the two classifications, we propose an indirect multipurpose classification method and a multifunction classification method for two-pair two-Gaussian processes. The SAR image algorithm based on the two categories is relatively simple and achieves certain results.

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Traditional image segmentation algorithms usually can’t obtain expected effects when facing with complex images such as container code images with complex backgrounds and bad illuminations. This paper introduces the definition of valid gradient and proposes a novel image segmentation algorithm based on it to solve above problem. Through statistical analyzing of the valid gradient information of the edges between the target and the background, some thresholds can be obtained directly and used to segment the images. The experiment results show that the algorithm can get better performance evaluation. Finally, the algorithm has good practicability and can be used directly in different image segmentation fields.

This paper presents a teleoperation system to control mobile robot remotely. To provide adequate information for the operator to be aware of the robot situation, the whole viewpoints scenes are generated in the first and the third person point of view by virtual tools. These scenes provide the maps and the spatial information to the operators. To complete a complex task, operators can conveniently select different viewpoints to monitor the robot or target for different task process. Multiple input devices such as keyboard, mouse and joystick are adopted to input the commands, and different operational modes are designed to control the robot in different task. Finally, the effectiveness of the teleoperation system is illustrated by experiments that the operator manipulates mobile robot.