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	Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery 期刊论文 OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 11, 页码: 22 作者: Yang, Zhiqi; Dong, Jinwei; Kou, Weili; Qin, Yuanwei; Xiao, Xiangming \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2021/08/19 Random Forest integrated pixel- and object-based (IPOB) approach feature selection segmentation Panax notoginseng
	Mapping Panax Notoginseng Plantations by Using an Integrated Pixel- and Object-Based (IPOB) Approach and ZY-3 Imagery 期刊论文 OAI收割 REMOTE SENSING, 2021, 卷号: 13, 期号: 11, 页码: 22 作者: Yang, Zhiqi; Dong, Jinwei; Kou, Weili; Qin, Yuanwei; Xiao, Xiangming \| 收藏 \| 浏览/下载：19/0 \| 提交时间：2021/08/19 Random Forest integrated pixel- and object-based (IPOB) approach feature selection segmentation Panax notoginseng
	Comparison of Pixel- and Object-Based Approaches in Phenology-Based Rubber Plantation Mapping in Fragmented Landscapes 期刊论文 OAI收割 REMOTE SENSING, 2018, 卷号: 10, 期号: 1, 页码: 20 作者: Zhai, Deli; Dong, Jinwei; Cadisch, Georg; Wang, Mingcheng; Kou, Weili \| 收藏 \| 浏览/下载：39/0 \| 提交时间：2019/05/30 rubber (Hevea brasiliensis) plantation phenology Xishuangbanna Landsat object-based approach pixel-based approach J0101
	Comparison of Pixel- and Object-Based Approaches in Phenology-Based Rubber Plantation Mapping in Fragmented Landscapes 期刊论文 OAI收割 REMOTE SENSING, 2018, 卷号: 10, 期号: 1, 页码: 44 作者: Zhai, Deli; Dong, Jinwei; Cadisch, Georg; Wang, Mingcheng; Kou, Weili \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2018/04/28 Rubber (Hevea Brasiliensis) Plantation Phenology Xishuangbanna Landsat Object-based Approach Pixel-based Approach J0101
	A simple and fast moving object segmentation based on H.264 compressed domain information (EI CONFERENCE) 会议论文 OAI收割 4th International Conference on Computational and Information Sciences, ICCIS 2012, August 17, 2012 - August 19, 2012, Chongqing, China 作者: Chen X.; Chen X.; Chen X.; Sun L. 收藏 \| 浏览/下载：15/0 \| 提交时间：2013/03/25 The paper presents a simple and fast approach for moving object segmentation based on H.264 compressed domain information for the application of indoor video surveillance with static camera. Due to the characteristics of indoor video surveillance the proposed method of segmentation avoids complicated background model like Gaussian Mixture background model. On the contrary it chooses some simple information like the type of Macroblock etc.. Experimental results of several specific H.264 compressed video sequences demonstrate the good segmentation quality of the proposed approach. 2012 IEEE.
	An intelligent video surveillance system (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on E-Product E-Service and E-Entertainment, ICEEE2010, November 7, 2010 - November 9, 2010, Henan, China Gao S. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 This paper presents an intelligent video surveillance system. The system is composed of one or more nodes flexibly according to the application scenarios such as private properties banks and museums. Each node is an autonomous vision-based device capable to perform intelligent tasks. It is able to digitize and compress the acquired analog video signals in MPEG-4 standard and then transmit the compressed video stream to the control center. At the same time the node makes use of a statistical approach for real-time detecting moving object and online alarm generation to enable a single human operator to monitor activities over a complex area using a distributed network of active video sensors. The node is implemented on a platform with high performance to ensure that the algorithm is able to run in real-time. Applications demonstrate that the intelligent system has an excellent performance in many scenarios to help people make decisions more accurately and rapidly. 2010 IEEE.
	impacts separation framework for performance prediction of middleware-based systems 学位论文 OAI收割 2009 Huang Xiang; Zhang Wenbo; Zhang Bo; Wei Jun \| 收藏 \| 浏览/下载：20/0 \| 提交时间：2011/03/20 aspect-oriented modeling cost effective approach middleware-based system model-based performance prediction software artifact software development middleware object-oriented programming software engineering
	An object recognition method based on fuzzy theory and BP networks (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China Chuan W.; Ming Z.; Dong Y. 收藏 \| 浏览/下载：20/0 \| 提交时间：2013/03/25 It is difficult to choose eigenvectors when neural network recognizes object. It is possible that the different object eigenvectors is similar or the same object eigenvectors is different under scaling shifting rotation if eigenvectors can not be chosen appropriately. In order to solve this problem the image is edged the membership function is reconstructed and a new threshold segmentation method based on fuzzy theory is proposed to get the binary image. Moment invariant of binary image is extracted and normalized. Some time moment invariant is too small to calculate effectively so logarithm of moment invariant is taken as input eigenvectors of BP network. The experimental results demonstrate that the proposed approach could recognize the object effectively correctly and quickly.
	A segment detection method based on improved Hough transform (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Yao Z.-J. 收藏 \| 浏览/下载：26/0 \| 提交时间：2013/03/25 Hough transform is recognized as a powerful tool in shape analysis which gives good results even in the presence of noise and the disconnection of edge. However 3. applying the standard Hough transform equation to every point of the input image edge 4. according to the local threshold 6. merging the segments whose extreme points are near. Experiment results show the approach not only can recognize regular geometric object but also can extract the segment feature of real targets in complex environment. So the proposed method can be used in the target detection of complicated scenes traditional Hough transform can only detect the lines 2. quantizing the parameter space and extracting a group of maximums according to the global threshold eliminating spurious peaks which are caused by the spreading effects and will improve the precision of tracking. cannot give the endpoints and length of the line segments and it is vulnerable to the quantization errors. Based on the analysis of its limitations Hough transform has been improved in order to detect line segment feature of targets. The algorithm aims to avoid the loss of spatial information as well as to eliminate the spurious peaks and fix on the line segments endpoints accurately 5. fixing on the endpoints of the segments according to the dynamic clustering rule which can expediently be used for the description and classification of regular objects. The method consists of 6 steps: 1. setting up the image parameter and line-segment spaces