A quantitative method for evaluating the performances of hyperspectral image fusion

Hyperspectral image fusion is a key technique of hyperspectral data processing. In recent years, many fusion methods have been proposed, but there is little work concerning evaluation of the performances of different image fusion methods. In this paper, a method called quantitative correlation analysis (QCA) is proposed, which provides a quantitative measure of the information transferred by an image fusion technique into the output image. Using the proposed method, the performances of different image fusion methods can be compared and analyzed directly based on the images of before and after performing the fusion. The correlation information entropy, based on the developed QCA, is also proposed and testified by numerical simulations. Typical hyperspectral data are applied to the proposed method. The results show that the method is effective, and its conclusions agree with the classification results in applications.     

Cramer-Rao bounds for parametric shape estimation in inverse problems

We address the problem of computing fundamental performance bounds for estimation of object boundaries from noisy measurements in inverse problems, when the boundaries are parameterized by a finite number of unknown variables. Our model applies to multiple unknown objects, each with its own unknown gray level, or color, and boundary parameterization, on an arbitrary known background. While such fundamental bounds on the performance of shape estimation algorithms can in principle be derived from the Cramer-Rao lower bounds, very few results have been reported due to the difficulty of computing the derivatives of a functional with respect to shape deformation. We provide a general formula for computing Cramer-Rao lower bounds in inverse problems where the observations are related to the object by a general linear transform, followed by a possibly nonlinear and noisy measurement system. As an illustration, we derive explicit formulas for computed tomography, Fourier imaging, and deconvolution problems. The bounds reveal that highly accurate parametric reconstructions are possible in these examples, using severely limited and noisy data.     

开展CAD／CAM／CAE工作提高矿用牙轮钻头设计研制水平

我国矿用牙轮钻头同世界先进水平相比有较大差距，大力开展矿用牙轮钻头CAD／CAM／CAE工作，促进学科交叉融合，是摆脱落后局面，参与全球性竞争的一项重要任务。     

低阶煤煤层气富集模式初探

通过对美国粉河盆地以及我国铁法盆地煤层气富集规律的解剖,总结出影响低阶煤煤层气富集的关键因素是封堵,而构造、岩性和水动力是形成煤层气封堵的主要因素。同时提出了5种不同的煤层气富集模式,即背斜模式、构造—水动力模式、构造—岩性模式、岩性—水动力模式和岩性模式。     

谐振式力传感器对其晶振频率稳定度的要求

为了寻找石英晶振频率稳定度对传感器影响的判据,根据石英谐振式力传感器的灵敏度阈值和量程与晶体的相关常数及结构参数间的关系,导出了反映谐振式力传感器研究水平的指标参数与晶体结构参数及晶振频率稳定度之间的关系式,为传感器的研究提供了依据。例如,欲制作量程阈值比达到105量级的传感器,所用晶振的频率稳定度必须优于108。     

德兴铜矿变配电网络地理信息系统设计与实践

介绍了矿山变配电地理信息系统的设计与实施。     

En/Decoder for Spectral Phase-Coded OCDMA System Based on Amplitude Sampled FBG

A novel en/decoder for spectral phase-coded optical code-division multiple-access system based on amplitude sampled fiber Bragg grating (FBG) is proposed. Both equivalent chirp and equivalent phase shift are achieved by amplitude sampling. Compared with previous en/decoder based on step chirped FBG, it is easier to fabricate. The performance of the proposed en/decoder is verified by both numerical simulation and experimental demonstration.     

大直径近水平长钻孔瓦斯抽采全液压坑道钻机的研制

用大直径长钻孔进行瓦斯抽采是近几年一直受到广泛关注的技术,我国大部分煤矿矿井巷道条件一般、地层条件较复杂,以大扭矩孔口回转钻进方式为主的瓦斯钻机仍会是大直径长钻孔瓦斯抽采钻机的主导机型。文章介绍了大直径长钻孔施工常用的几种全液压坑道钻机的结构和性能特点。以期为我国煤矿推广应用大直径长钻孔瓦斯抽采提供技术保障,同时促进我国煤矿坑道钻探水平的进步。