一种新颖的高分辨率SAR舰船检测方法

随着合成孔径雷达(SAR)图像的分辨率提高,基于高分辨率SAR图像的舰船检测成为海洋遥感应用中的一个重要课题。针对高分辨率SAR图像,为获取精确的、完整的舰船目标信息而提出一种基于改进的相干散射点(CS)提取的舰船检测方法。该方法的核心是利用SAR图像复数据的确定目标特性,提取出CS,该方法不仅利用了图像复数据的幅度信息,同时利用了相位信息。首先对于原始高分辨率SAR图像复数据进行距离向子视处理,获取子视图像像素的相关系数;然后,由于SAR图像分辨率较高,为获取完整的舰船目标信息,引入局部图像平均相关系数处理;最后设定相关系数阈值,从海域中提取出舰船目标,完成舰船检测。仿真实验结果验证了该检测方法的有效性。

Seismic data analysis based on spatial subsets

There are some limitations when we apply conventional methods to analyze the massive amounts of seismic data acquired with high-density spatial sampling since processors usually obtain the properties of raw data from common shot gathers or other datasets located at certain points or along lines. We propose a novel method in this paper to observe seismic data on time slices from spatial subsets. The composition of a spatial subset and the unique character of orthogonal or oblique subsets are described and pre-stack subsets are shown by 3D visualization. In seismic data processing, spatial subsets can be used for the following aspects： （1） to check the trace distribution uniformity and regularity; （2） to observe the main features of ground-roll and linear noise; （3） to find abnormal traces from slices of datasets; and （4） to QC the results of pre-stack noise attenuation. The field data application shows that seismic data analysis in spatial subsets is an effective method that may lead to a better discrimination among various wavefields and help us obtain more information.

2D IMAGE BASED SIEVING FOR PARTICLE AGGREGATE GRADATION

Acquiring the size gradation for particle aggregates is a common practice in the granule related industry,and mechanical sieving or screening has been the normal method. Among many drawbacks of this conventional means,the major ones are time-consuming,labor-intensive,and being unable to provide real-time feedback for process control. In this letter,an optical sieving approach is introduced. The two-dimensional images are used to develop methods for inferring particle volume and sieving behavior for gradation purposes. And a combination of deterministic and probabilistic methods is described to predict the sieving behaviors of the particles and to construct the gradation curves for the aggregate sample. Comparison of the optical sieving with standard mechanical sieving shows good correlation.

An adaptive preprocessing algorithm for low bitrate video coding

At low bitrate, all block discrete cosine transform (BDCT) based video coding algorithms suffer from visible blocking and ringing artifacts in the reconstructed images because the quantization is too coarse and high frequency DCT coefficients are inclined to be quantized to zeros. Preprocessing algorithms can enhance coding efficiency and thus reduce the likelihood of blocking artifacts and ringing artifacts generated in the video coding process by applying a low-pass filter before video encoding to remove some relatively insignificant high frequent components. In this paper, we introduce a new adaptive preprocessing algo- rithm, which employs an improved bilateral filter to provide adaptive edge-preserving low-pass filtering which is adjusted ac- cording to the quantization parameters. Whether at low or high bit rate, the preprocessing can provide proper filtering to make the video encoder more efficient and have better reconstructed image quality. Experimental results demonstrate that our proposed preprocessing algorithm can significantly improve both subjective and objective quality.

Machine vision inspection of rice seed based on Hough transform

A machine vision system was developed to inspect the quality of rice seeds. Five varieties of Jinyou402, Shanyou10, Zhongyou207, Jiayou and IIyou were evaluated. The images of both sides of rice seed with black background and white background were acquired with the image processing system for identifying external features of rice seeds. Five image sets consisting of 600 original images each were obtained. Then a digital image processing algorithm based on Hough transform was developed to inspect the rice seeds with incompletely closed glumes. The algorithm was implemented with all image sets using a Matlab 6.5 procedure. The results showed that the algorithm achieved an average accuracy of 96% for normal seeds, 92% for seeds with fine fissure and 87% for seeds with incompletely closed glumes. The algorithm was proved to be applicable to different seed varieties and insensitive to the color of the background.

Development of a Musical-based Interaction System for the Waseda Flutist Robot-Implementation of a Real-time Vision Interface Based on the Particle Filter Algorithm

The aim of this paper is to create an interface for humanrobot interaction. Specifically, musical performance parameters （i. e. vibrato expression） of the Waseda Flutist Robot No. 4 Refined IV （WF-4RIV） are to be manipulated. This research focused on enabling the WF-4RIV to interact with human players （musicians） in a natu- ral way. In this paper, as the first approach, a vision processing algorithm, which is able to track the 3Dorientation and position of a musical instrument, was developed. In particular, the robot acquires image data through two catneras attached to its head. Using color histogram matching and a particle filter, the position of the musician＇s hands on the inset are tracked. Analysis of this data determines orientation and location of the iustnment. These pa- rameters are mapped to manipulate the musical expression of the WF- 4RIV, more specifically sound vibrato and volume values. The authors present preliminary experiments to determine if the robot may dynamically change musical parameters while interacting with a human player （i.e. vibrato etc. ）. From the experirnental results, they may confirm the feasibility of the interaction during the performance, although further research must be carried out to consider the physical constraints of the flutist robot.

Macroblock-Level Rate Control Scheme for Video Encoders

Rate control plays an important role in video coding. An algorithm is proposed by Tsai et al in which macroblock’s coding order is rearranged to improve the coding quality. However, the complexity is very high due to the change of macroblock’s coding order. In this paper, a macroblocl-level rate control algorithm is proposed which recalculates the quantization parameter of each macroblock based on its significance. Simulation results show that the proposed algorithm not only achieves 0.1-0.6 dB in peak signal-to-noise ratio (PSNR) but also reduces 33%-55% total encoding time compared to Tsai’s algorithm.