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.     

农村水电可持续发展及管理对策

农村水电具有一定的开发优势，但在开发中存在着水能资源管理缺位、部门职责不清、缺乏统一规划和统一调度管理等问题。针对这些问题,从编制流域综合规划、建立和完善水能资源许可制度、加强政府监管力度、实行统一调度、协调水电开发与生态保护的关系等方面提出了管理对策。     

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。     

浅析建筑的生命力

时代赋予建筑可持续发展的概念,即有生命的建筑。建筑必须服从于总体空间环境,注重建筑的生态环境,重视建筑环境的物理条件,传承历史文脉,创作富有生命力的建筑作品。     

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.     

钢-混凝土组合桥梁中无抗剪配筋的桥面板在轴向拉力作用下的抗剪极限承载力试验研究

完成31根钢筋混凝土梁的剪切破坏试验,对钢-混凝土组合桥梁中无抗剪配筋的桥面板在轴向拉力作用下的抗剪极限承栽力进行了研究.试验中主要考虑了轴向拉力对抗剪极限承栽力的影响,同时对配筋率、最小抗剪配筋、混凝土强度等级等其他因素也进行了研究.试验结果表明,欧洲规范2第1部分中用来计算无抗剪配筋的钢筋混凝土构件的抗剪极限承栽力的公式过于保守,建议进行修正.