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	Detecting Spatiotemporal Differences in Cropland Abandonment and Reforestation Across the Three-North Region of China Based on Landsat Time Series 期刊论文 OAI收割 IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2023, 卷号: 61, 页码: 12 作者: Zhao, Xuan; Wu, Taixia; Wang, Shudong \| 收藏 \| 浏览/下载：17/0 \| 提交时间：2023/10/09 Automobiles Green products Earth Remote sensing Time series analysis Artificial satellites Forestry Change detection conversion of cropland to forests LandTrendr (LTR) normalized difference vegetation index (NDVI) phenological time series
	Ranging technology using signals of opportunity of non-cooperative communication satellites 期刊论文 OAI收割 JOURNAL OF NAVIGATION, 2021, 卷号: 74, 期号: 2, 页码: 488-500 作者: Gao, Yuanyuan; Hua, Yu; Xiang, Yu; Huang, Changjiang; Wang, Shanhe \| 收藏 \| 浏览/下载：43/0 \| 提交时间：2021/11/29 navigation via signals of opportunity (NAVSOP) very long baseline interferometry (VLBI) passive radar detection time difference measurement
	An Omnidirectional Morphological Method for Aerial Point Target Detection Based on Infrared Dual-Band Model 期刊论文 OAI收割 Remote Sensing, 2018, 卷号: 10, 期号: 7, 页码: 26 作者: Liu, R.; Wang, D. J.; Jia, P.; Sun, H. \| 收藏 \| 浏览/下载：25/0 \| 提交时间：2019/09/17 point target detection dual-band model optimal fused probability of detection omnidirectional morphological filtering local difference criterion top-hat transform 2d images algorithm enhancement features filter track Remote Sensing
	Design of real-time small target detection system for infrared image based on FPGA (EI CONFERENCE) 会议论文 OAI收割 2010 International Conference on Optics, Photonics and Energy Engineering, OPEE 2010, May 10, 2010 - May 11, 2010, Wuhan, China 作者: Liu J.; Sun Q.; Wang J.; Ye X.; Xu H. 收藏 \| 浏览/下载：28/0 \| 提交时间：2013/03/25 A simple detection measurement is developed for realtime small target detection in infrared background which can be easily available on FPGA. Basing on the difference between target and background a predictive background is generated via restraining the infrared background with median filter and then global threshold segmentation is used to residual image for further processing. Taking advantage of the relationship of targets in frames a comprehensive analysis of residual image is made and then the precise position of target is got by removing pseudo-objectives. Experiment results show that the method is simple to apply to hardware system improve the system's false alarm rate and meet the requirements of practical engineering. 2010 IEEE.
	Real-time matching algorithm of navigation image based on corner detection (EI CONFERENCE) 会议论文 OAI收割 International Symposium on Photoelectronic Detection and Imaging 2009: Advances in Imaging Detectors and Applications, June 17, 2009 - June 19, 2009, Beijing, China 作者: Zhang T. 收藏 \| 浏览/下载：46/0 \| 提交时间：2013/03/25 In order to meet requirement of real-time and high accuracy in image matching aided navigation SSDA algorithm is used to match remote sensing image and template image coarsely a fast and effective algorithm of remote sensing image matching based on corner detection is put forward. With the combination of rough and fine match when the matching result is bigger than one to count absolute value sum of energy difference of characteristic point energy to realize fine match of remote sensing image and template image to locate the position of template image in remote sensing image accurately. Simulation experiment proves that the matching of a remote sensing image resolution of 10181530 and a template image resolution of 15090 can be fulfilled within 2.392 second wavelet transform is used to acquire low frequency component to realize image compression to decrease calculation work and increase matching speed. Harris corner detection algorithm is used to detect corner of remote sensing image and template image and energy of every corner is calculated the algorithm is robust and effective real time image navigation can be achieved. 2009 SPIE.
	Self-adaptive threshold canny operator in color image edge detection (EI CONFERENCE) 会议论文 OAI收割 2009 2nd International Congress on Image and Signal Processing, CISP'09, October 17, 2009 - October 19, 2009, Tianjin, China Luo T.; Zheng X.-F.; Ding T.-F. 收藏 \| 浏览/下载：16/0 \| 提交时间：2013/03/25 It needs to set the two thresholds of classical Canny Operator manually which confined this algorithm. A lot of research on adaptive thresholds choice method has been done to conquer this shortcoming. Based on the gradient histogram which is studied constantly in the past a method of gradient histogram difference diagram with adaptive image classification techniques is proposed in this paper. It automatically sets the two thresholds and avoids disconnected or false edges in detection. Experiments prove that the method is threshold-adaptive and the edge detection performs well in color image whose larger gradient amplitude pixels are mainly located in the edges between the target and background. 2009 IEEE.
	Study on color difference estimation method of medicine biochemical analysis (EI CONFERENCE) 会议论文 OAI收割 ICO20: Illumination, Radiation, and Color Technologies, August 21, 2005 - August 26, 2005, Changchun, China 作者: Zhou Y. 收藏 \| 浏览/下载：35/0 \| 提交时间：2013/03/25 The biochemical analysis in medicine is an important inspection and diagnosis method in hospital clinic. The biochemical analysis of urine is one important item. The Urine test paper shows corresponding color with different detection project or different illness degree. The color difference between the standard threshold and the test paper color of urine can be used to judge the illness degree therefore it can be used in hospital so that further analysis and diagnosis to urine is gotten. The color is a three-dimensional physical variable concerning psychology the estimation method of color difference in urine test can have better precision and facility than the conventional test method with one-dimensional reflectance calibrating organization and family while reflectance is one-dimensional variable it can make an accurate diagnose. The digital camera is easy to take an image of urine test paper and is used to carry out the urine biochemical analysis conveniently. On the experiment so its application prospect is extensive. the color image of urine test paper is taken by popular color digital camera and saved in the computer which installs a simple color space conversion (RGB &rarr XYZ &rarr Lab*) and the calculation software. Test sample is graded according to intelligent detection of quantitative color. The images taken every time were saved in computer and the whole illness process will be monitored. This method can also use in other medicine biochemical analyses that have relation with color. Experiment result shows that this test method is quick and accurate
	Intelligent MRTD testing for thermal imaging system using ANN (EI CONFERENCE) 会议论文 OAI收割 ICO20: Remote Sensing and Infrared Devices and Systems, August 21, 2005 - August 26, 2005, Changchun, China Sun J.; Ma D. 收藏 \| 浏览/下载：27/0 \| 提交时间：2013/03/25 The Minimum Resolvable Temperature Difference (MRTD) is the most widely accepted figure for describing the performance of a thermal imaging system. Many models have been proposed to predict it. The MRTD testing is a psychophysical task for which biases are unavoidable. It requires laboratory conditions such as normal air condition and a constant temperature. It also needs expensive measuring equipments and takes a considerable period of time. Especially when measuring imagers of the same type the test is time consuming. So an automated and intelligent measurement method should be discussed. This paper adopts the concept of automated MRTD testing using boundary contour system and fuzzy ARTMAP but uses different methods. It describes an Automated MRTD Testing procedure basing on Back-Propagation Network. Firstly we use frame grabber to capture the 4-bar target image data. Then according to image gray scale we segment the image to get 4-bar place and extract feature vector representing the image characteristic and human detection ability. These feature sets along with known target visibility are used to train the ANN (Artificial Neural Networks). Actually it is a nonlinear classification (of input dimensions) of the image series using ANN. Our task is to justify if image is resolvable or uncertainty. Then the trained ANN will emulate observer performance in determining MRTD. This method can reduce the uncertainties between observers and long time dependent factors by standardization. This paper will introduce the feature extraction algorithm demonstrate the feasibility of the whole process and give the accuracy of MRTD measurement.
	The recognition potential: Semantic processing or the detection of differences between stimuli? 期刊论文 OAI收割 COGNITIVE BRAIN RESEARCH, 2005, 卷号: 25, 期号: 1, 页码: 273-282 作者: Pu, J; Peng, DL; Demaree, HA; Song, Y; Wei, JH \| 收藏 \| 浏览/下载：33/0 \| 提交时间：2011/08/22 recognition potential semantic processing detection of difference Chinese visual stimuli event-related potential