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	A Hybrid Data Balancing Method for Classification of Imbalanced Training Data within Google Earth Engine: Case Studies from Mountainous Regions 期刊论文 OAI收割 REMOTE SENSING, 2020, 卷号: 12, 期号: 20, 页码: 3301 作者: Naboureh, Amin; Li, Ainong; Bian, Jinhu; Lei, Guangbin; Amani, Meisam \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2020/12/10 class imbalance problem Google Earth Engine land cover mapping mountainous regions time-series of Landsat
	Cut-slope icing prevention: case study of the seasonal frozen area of western china 期刊论文 iSwitch采集 Journal of cold regions engineering, 2016, 卷号: 30, 期号: 3, 页码: 10 作者: Yu, Wenbing; Han, Fenglei; Yi, Xin; Liu, Weibo; Hu, Da 收藏 \| 浏览/下载：44/0 \| 提交时间：2019/05/09 Cold regions Cut slope Icing problem Prevention technique Roadway
	Problem regions and regional problems of socioeconomic development in China: A perspective from the coordinated development of industrialization, informatization, urbanization and agricultural modernization SCI/SSCI论文 OAI收割 2014 作者: Wang J.; Wang J. 收藏 \| 浏览/下载：29/0 \| 提交时间：2014/12/24 problem regions regional problems regional policies industrialization informatization urbanization agricultural modernization inequality province
	The Riemann problem for a class of nonlinear degenerate equations 期刊论文 OAI收割 JOURNAL OF MATHEMATICAL ANALYSIS AND APPLICATIONS, 2012, 卷号: 394, 期号: 1, 页码: 112-120 作者: Wang, Zhen; Zhang, Tingting 收藏 \| 浏览/下载：25/0 \| 提交时间：2015/06/25 Riemann problem Invariant regions Liu-entropy condition Rarefaction waves Shock waves
	Adaptive resolution storage system based on LOG-POLAR transform for multi-target trackers (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Computer Application and System Modeling, ICCASM 2010, October 22, 2010 - October 24, 2010, Shanxi, Taiyuan, China 作者: Zhang Y. 收藏 \| 浏览/下载：22/0 \| 提交时间：2013/03/25 The main constrained problem of the video monitoring and storage system is the contradiction between large field of view and storage space limitations. Not all of the video information introduced by the image sensors need to be recorded especially for some tracking system which has appointed functions to track specifically kinds of targets. For instance the system not only works for single target if the monitor is appointed for human face tracking but also can work for multi-targets. High reconstruction resolution in the fovea region enables the successive application of recognition modules without sacrificing their performance the best system appears to be concentrating on human face only and all the others considered being background the low reconstruction resolution in the periphery helps to reduce the video data. 2010 IEEE. the background regions needn't to be recorded in detail. For this purpose this letter presents a real-time foveate storage system which efficiently represents the video image in log-polar coordinates with the foveate point centered on the target
	A new segmentation method of CR images based on discrete wavelet transform and mathematics morphology (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Li Z.; Li Z. 收藏 \| 浏览/下载：68/0 \| 提交时间：2013/03/25 In this paper we propose a segmentation method of CR(computed radiography) images with being rid of under-segmentation and over-segmentation. An under-segmentation occurs when pixels belonging to different objects are grouped into a single region. Such errors are the most dangerous because they can invalidate the whole segmentation process. The phenomenon always takes place when we segment CR images because of the principle of CR. In order to depressed under-segmentation we enhance the CR images using DWT (discrete wavelet transform) to get more detail of CR image features. As we enhance the CR image the over-segmentation maybe occurs. Compared with under-segmentation the over-segmentation occurs when a single objects is subdivided by segmentation into several region. For the purpose of preventing from the over-segmentation we present a scheme for enhanced CR images based on watershed algorithm that solves over-segmentation problem. We use marker-based watershed algorithm. Together with gradient image and marker image watershed segmentation can make sure to partition CR image into meaningful object and avoid further segmentation of homogeneous regions. The result of the proposed algorithm are compared with those of other standard methods. Experiments have shown a better result and indeed solved under-segmentation and over-segmentation problems.