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Environmental sound classification task (ESC) is still open and challenging. In contrast to speech, sounds of a specific acoustic event may be produced by a wide variety of sources. Thus for one class, feature spectrums of acoustic events are much more transformative than human speech. In order to learn better high-level feature representations from these transformative feature spectrums, convolution...
In this paper, we propose a new method to automatically extract the main structure (fuselage and wings) of straight wing aircraft in photographic images using line clustering. We exploit the location, length and orientation features (parallel constraint) of line segments to group them into line clusters. The different line clusters correspond to the different structure of straight wing aircraft, and...
In order to locate the known landing area from far distance in image captured by on-board camera roughly, the method of known landing area rough locating from far distance by matching of the real-time images with the reference image is proposed. As meanwhile, a novel image matching algorithm named DDM-SIFT (double directions matching of SIFT) is presented, and rough location estimation is achieved...
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