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1.
高光谱激光雷达谱位合一的角度效应分析   总被引:1,自引:0,他引:1  
高光谱激光雷达以其谱位合一的技术优势为实现超三维精准遥感观测提供了可行途径,因此成为当前激光雷达与高光谱遥感领域共同大力推进的前沿发展方向。目前已有多型原型系统研发出来并得到了原理性验证,然而针对其数据处理核心环节问题的基础技术仍较为欠缺。典型问题之一是不同波段回波信号受激光入射角度的影响,该角度效应限制了高光谱激光雷达实现高性能遥感。以芬兰空间信息研究所高光谱激光雷达原型系统扫描桦树树干为例探讨了该角度效应,发现了不同激光波段对不同入射角度的回波强度响应模式,推导出了角度效应的基本规律及其精细尺度的统计规律,为后续该方向的系统研发、数据处理及信息提取等提供了可借鉴的底层机理与技术基础。  相似文献   
2.
Yu  Haoyang  Gao  Lianru  Li  Jun  Zhang  Bing 《Multimedia Tools and Applications》2020,79(13-14):8887-8909
Multimedia Tools and Applications - Subspace-based models have been widely applied for hyperspectral imagery applications, especially for classification. The main principle of these methods is...  相似文献   
3.
Feature-based methods have been developed in the past decades for the registration of optical satellite images. However, it is still a challenging problem to handle well the registration between medium and high spatial resolution images due to the large difference of the spatial structural features and local details for the same objects. In this study, an automated co-registration technique is proposed that integrates an improved SIFT (I-SIFT) and a novel matching strategy called spatial consistency constraints (SCC) to cope with the large difference in spatial resolutions between the image pair. Three constraints on angle, distance, and ratio are introduced to re the initial matching features obtained by I-SIFT. Three groups of experiments were conducted to validate the effectiveness of the proposed method. The experiments used high resolution multispectral and panoramic SPOT 5/6 images and Landsat 5/8 orthorectification images. Experimental results show that the registration error lies in about 1 pixel of high-resolution images and demonstrate that the proposed I-SIFT-SCC approach is suitable for fine registration of optical satellite images from medium spatial resolution to high spatial resolution with resolution ratio up to 6.  相似文献   
4.
In this paper, we propose content adaptive denoising in highly corrupted videos based on human visual perception. We introduce the human visual perception in video denoising to achieve good performance. In general, smooth regions corrupted by noise are much more annoying to human observers than complex regions. Moreover, human eyes are more interested in complex regions with image details and more sensitive to luminance than chrominance. Based on the human visual perception, we perform perceptual video denoising to effectively preserve image details and remove annoying noise. To successfully remove noise and recover the image details, we extend nonlocal mean filtering to the spatiotemporal domain. With the guidance of content adaptive segmentation and motion detection, we conduct content adaptive filtering in the YUV color space to consider context in images and obtain perceptually pleasant results. Extensive experiments on various video sequences demonstrate that the proposed method reconstructs natural-looking results even in highly corrupted images and achieves good performance in terms of both visual quality and quantitative measures.  相似文献   
5.
Distributed compressed video sensing (DCVS) is a framework that integrates both compressed sensing and distributed video coding characteristics to achieve a low-complexity video coding. However, how to design an efficient joint reconstruction by leveraging more realistic signal models is still an open challenge. In this paper, we present a novel optimal-correlation-based reconstruction method for compressively sampled videos from multiple measurement vectors. In our method, the sparsity is mainly exploited through inter-signal correlations rather than the traditional frequency transform, wherein the optimization is not only over the signal space to satisfy data consistency but also over all possible linear correlation models to achieve minimum-l1-norm correlation noise. Additionally, a two-phase Bregman iterative based algorithm is outlined for solving the optimization problem. Simulation results show that our proposal can achieve an improved reconstruction performance in comparison to the conventional approaches, and especially, offer a 0.7–9.9 dB gain in the average PSNR for DCVS.  相似文献   
6.
In this work, the swirling flow field induced by guide vanes was studied using electrical resistance tomography (ERT) and numerical simulations. The results show that the two-phase water and oil mixture moves in the same axial direction for this type of flow field, which is very unlike the flow behavior of a traditional hydrocyclone with a tangential inlet. In the pipe behind the guide vanes, the smallest axial velocity and tangential velocity are located at the center of the pipe. From the pipe center to the pipe wall, both pressure and velocity increase gradually. Downstream of guide vanes, the maximal oil volume fraction is observed at the center of the pipe. From the center of the pipe to the inner wall, the oil volume fraction gradually decreases. Moreover, ERT can precisely show the oil distribution in the pipe section. These studies prove the possibility of efficient oil and water mixture separation by guide vanes, and the results may be very important for guiding the optimal design of vane-type pipe separators.  相似文献   
7.
太阳辐射计是观测大气气溶胶重要的地基遥感设备,其定标是获取高精度气溶胶产品的前提条件。视场角(field of view, FOV) 是太阳辐射计的重要参数,也是传递定标的关键参数。基于SONET观测网2016年定标实验,对传递定标方法(单次传递及历史传递平均结果)和矩阵扫描法获得的仪器FOV进行对比分析,结果表明:单次传递、历史传递平均和激光矩阵扫描结果与仪器的FOV设计值平均相对误差在2%~3%之内,而三种方法获得的FOV最大相对误差为1.59%,满足FOV的精度要求。误差分析表明,传递定标法误差主要来自积分球辐亮度定标系数,而矩阵扫描法的误差主要由激光面光源引起。但三种方法各有优劣,可以相互验证、相互补充,以获得更加准确的仪器FOV参数。  相似文献   
8.
基于卷积神经网络的光学遥感图像检索   总被引:3,自引:0,他引:3  
提出了一种基于深度卷积神经网络的光学遥感图像检索方法。首先,通过多层卷积神经网络对遥感图像进行卷积和池化处理,得到每幅图像的特征图,抽取高层特征构建图像特征库;在此过程中使用特征图完成网络模型参数和Softmax分类器的训练。然后,借助Softmax分类器在图像检索阶段对查询图像引入类别反馈,提高图像检索准确度,并根据查询图像特征和图像特征库中特征向量之间的距离,按相似程度由大到小进行排序,得到最终的检索结果。在高分辨率遥感图像数据库中进行了实验,结果显示:针对水体、植被、建筑、农田、裸地等5类图像的平均检索准确度约98.4%,增加飞机、舰船后7类遥感图像的平均检索准确度约95.9%;类别信息的引入有效提高了遥感图像的检索速度和准确度,检索时间减少了约17.6%;与颜色、纹理、词袋模型的对比实验表明,利用深度卷积神经网络抽取的高层信息能够更好地描述图像内容。实验表明该方法能够有效提高光学遥感图像的检索速度和准确度。  相似文献   
9.
A novel technique for binarization with stroke preservation of faint characters in degraded documents is proposed. It works in a multi-scale framework with an adaptive–interpolative thresholding technique. Instead of computing a global threshold value, it computes the local threshold values for a small set of grid points by observing the intensity pattern of the pixels lying in the concerned grid cells. Estimated thresholds are used, in turn, to compute the threshold values of all the remaining pixels using a fast-yet-efficient interpolation procedure. To handle noises in degraded images, this grid-based adaptive thresholding is applied in successively reducing scales to obtain the near-optimal binarization as a set of connected components. After a post-processing meant for stroke preservation with these connected components, we get the final output. Exhaustive experimentation and comparison with other existing methods have been successfully carried out with benchmark datasets and also with our own datasets.  相似文献   
10.
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