Abstract—This paper discusses the reconstruction of sea-surface photo imaging based on Light Detection and Ranging (LIDAR) scanning observation, the new framework consists of three phases. Firstly, we set the angles and range of the image to perform the scanning to get the pixel coordinates of sea-surface image in x and y direction respectively. Secondly, we get the continuous signal and sampled by using aperture filter and combine the patches into the piecewise form to achieved the smoothly reconstruction. Finally, we applied the adaptive filter to increases the resolution of the image and to filter out the noise present in the image. The proposed method demonstrates the better reconstruction of sea-surface image. In addition we performed error simulation and the noise evaluation of the aperture filter, and it is noted that the error is significantly reduced compared with other method.
Index Terms—Adaptive filter, aperture filter, flash LIDAR, pixel reconstruction, photo imaging, sea surface image.
Muhammad Sameer Sheikh and Qunsheng Cao are with College of Electronics and Information Engineering, Nanjing University of Aeronautics and Astronautics. Nanjing, China (e-mail: sameer.5@hotmail.com).
Caiyun Wang is with College of Astronautics Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China (e-mail: wangcaiyun@nuaa.edu.cn).
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Cite: Muhammad Sameer Sheikh, QunSheng Cao, and Caiyun Wang, "Aperture Filter and Adaptive Filter Response for Reconstruction of Sea Surface Image Based on LIDAR Observation," International Journal of Modeling and Optimization vol. 5, no. 5, pp. 317-324, 2015.
