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New method of fish classification by using high-resolution acoustic video camera-ARIS and local invariant feature descriptor

机译：使用高分辨率声像摄像机和局部不变特征描述符使用高分辨率的鱼类分类方法

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摘要

A new observation method of fish classification by using acoustic video camera (ARIS) at 3.0 MHz center frequency was developed. Using the method, high-quality acoustic image was obtained. After getting the acoustic image of fish by ARIS, we utilized a method called Scale-Invariant Feature Transform (SIFT) [1] into fish classification instead of the method that we used before, which is called Normalized Cross Correlation (NCC) [2], and then we compared and contrasted position matching rate of the two methods of NCC and SIFT, and improved the SIFT algorithm to increase the accuracy.

机译：开发了一种新的3.0 MHz中心频率通过声像相机（ARIS）的鱼类分类的新观察方法。使用该方法，获得了高质量的声学图像。在通过ARI获取鱼的声学图像后，我们利用了一种称为Scale-Funiant Feature Transform（SIFT）[1]的方法，而不是我们之前使用的方法，该方法称为归一化交叉相关（NCC）[2]然后，我们比较和对比的NCC和SIFT方法的位置匹配率，并改善了SIFT算法来提高精度。

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《OCEANS 2016 MTS/IEEE Monterey》|2016年|1 v.|共6页
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作者
Zhang Yu; Katsunori Mizuno; Akira Asada; Yasufumi Fujimoto; Tetsuo Shimada;
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正文语种
中图分类信号处理;
关键词
Fish; Acoustics; Acoustic beams; Sonar; Cameras; Image processing; Dogs;

机译：鱼;声学;声梁;声纳;摄像机;图像处理;狗;

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4. New method of fish classification by using high-resolution acoustic video camera-ARIS and local invariant feature descriptor [C] . Zhang Yu, Katsunori Mizuno, Akira Asada, OCEANS 2016 MTS/IEEE Monterey . 2016

机译：高分辨率声像摄像机-ARIS和局部不变特征描述符的鱼类分类新方法
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New method of fish classification by using high-resolution acoustic video camera-ARIS and local invariant feature descriptor

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