The rapid development of the satellite observation technology provides a very rich source of data for sea reconnaissance and ships surveillance. In the face of such a vast sea remote sensing data, it is urgent need to realize the automatic ship detection in optical remote sensing images, but the optical remote sensing images are easily affected by meteorological conditions, such as clouds, waves, which results in larger false alarm; and the weak contrast between optical remote sensing image target and background is easy to cause missing alarm. In this paper, a novel algorithm based on wavelet transform for ship target detection in optical remote sensing images is proposed, which can effectively remove these noise and interference. The segmentation of sea and land background is first applied to the image preprocessing to achieve more accurate detection results, and then discrete wavelet transform is used to deal with the part of sea background. The results show that almost all of the offshore ships can be detected, and through the comparison of the results of four different wavelet basis functions, the accuracy of ship detection is further improved.
The conventional Fourier ptychographic microscopy (FPM) is a computational imaging approach, which stitches together a sequence of low-resolution (LR) images captured by different angles illumination. However, the limitation of processing efficiency in capturing LR images is gradually becoming obvious. Utilizing the principle, aimed at reducing the amount of captured measurements and decreasing acquisition time, this paper proposes an optimized spectral sampling scheme. In this method, the importance of the spectra in the spectrum domain is analyzed and the more informative parts are selected. The acquisition efficiency can be increased because the selected images are captured and applied into the conventional FPM routine. Compared with the conventional FPM, experimental results significantly indicate that the redundancy of information and the time of image collection could decrease without debasing the quality of the reconstruction.
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