中国科学院机构知识库网格系统: 检索

Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera 期刊论文 OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 期号: 4, 页码: 648-652
作者: Lin, Jiayuan; Zuo, Hang; Ye, Yaya; Liao, Xiaohan

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收藏 | 浏览/下载：112/0 | 提交时间：2019/05/22

Agricultural multispectral camera (ADC) lite auto-adaptive filter Fourier spectrum image histogram normalized difference vegetation index (NDVI) stripe noise unmanned aerial vehicles (UAV)

Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera 期刊论文 OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 期号: 4, 页码: 648-652
作者: Lin, Jiayuan; Zuo, Hang; Ye, Yaya; Liao, Xiaohan

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收藏 | 浏览/下载：7/0 | 提交时间：2019/05/22

Agricultural multispectral camera (ADC) lite auto-adaptive filter Fourier spectrum image histogram normalized difference vegetation index (NDVI) stripe noise unmanned aerial vehicles (UAV)

Histogram-Based Autoadaptive Filter for Destriping NDVI Imagery Acquired by UAV-Loaded Multispectral Camera 期刊论文 OAI收割
IEEE GEOSCIENCE AND REMOTE SENSING LETTERS, 2019, 卷号: 16, 期号: 4, 页码: 648-652
作者: Lin, Jiayuan; Zuo, Hang; Ye, Yaya; Liao, Xiaohan

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收藏 | 浏览/下载：9/0 | 提交时间：2019/05/22

Agricultural multispectral camera (ADC) lite auto-adaptive filter Fourier spectrum image histogram normalized difference vegetation index (NDVI) stripe noise unmanned aerial vehicles (UAV)

ECG signal enhancement based on improved denoising auto-encoder 期刊论文 OAI收割
ENGINEERING APPLICATIONS OF ARTIFICIAL INTELLIGENCE, 2016, 卷号: 52, 页码: 194-202
作者: Xiong, Peng; Wang, Hongrui

收藏 | 浏览/下载：68/0 | 提交时间：2016/10/20

Denoising auto-encoder (DAE) ECG signal denoising Wavelet transform (WT) Deep neural network (DNN)

Miniaturized VCSEL pulsed laser source with high peak power at 980 nm 期刊论文 OAI收割
Journal of Infrared and Millimeter Waves, 2016, 卷号: 35, 期号: 5
作者: Gao, S. J.; X. Zhang; J. W. Zhang; J. Zhang; Y. Q. Ning

收藏 | 浏览/下载：18/0 | 提交时间：2017/09/11

Monocular Camera and IMU Integration for Indoor Position Estimation 会议论文 OAI收割
2014 36th Annual International Conference of the IEEE Engineering in Medicine and Biology Society (EMBC), Chicago, IL, USA, August 26-30
作者: Zhang YL(张吟龙); Tan JD(谈金东); Zeng ZM(曾子铭); Liang W(梁炜); Xia Y(夏晔)

收藏 | 浏览/下载：59/0 | 提交时间：2014/12/29

基于视觉的微点胶定位测量与控制的研究 学位论文 OAI收割
工程硕士, 中国科学院自动化研究所: 中国科学院大学, 2013
作者: 杨鑫

收藏 | 浏览/下载：31/0 | 提交时间：2015/09/02

机器视觉微点胶定位测量 PI控制 Machine Vision Micro Adhesive Dispensing Positioning Measurement PI Control

载人潜水器“蛟龙”号的控制系统研究 期刊论文 OAI收割
科学通报, 2013, 卷号: 58, 期号: S2, 页码: 40-48
作者: 王晓辉; 祝普强; 赵洋; 崔胜国; 刘开周

收藏 | 浏览/下载：27/0 | 提交时间：2014/04/16

载人潜水器 “蛟龙”号导航定位悬停定位模糊PID控制自适应无色卡尔曼滤波

Real time tracking by LOPF algorithm with mixture model (EI CONFERENCE) 会议论文 OAI收割
MIPPR 2007: Automatic Target Recognition and Image Analysis; and Multispectral Image Acquisition, November 15, 2007 - November 17, 2007, Wuhan, China
Meng B.; Zhu M.; Han G.; Wu Z.

收藏 | 浏览/下载：21/0 | 提交时间：2013/03/25

A new particle filter-the Local Optimum Particle Filter (LOPF) algorithm is presented for tracking object accurately and steadily in visual sequences in real time which is a challenge task in computer vision field. In order to using the particles efficiently we first use Sobel algorithm to extract the profile of the object. Then we employ a new Local Optimum algorithm to auto-initialize some certain number of particles from these edge points as centre of the particles. The main advantage we do this in stead of selecting particles randomly in conventional particle filter is that we can pay more attentions on these more important optimum candidates and reduce the unnecessary calculation on those negligible ones in addition we can overcome the conventional degeneracy phenomenon in a way and decrease the computational costs. Otherwise the threshold is a key factor that affecting the results very much. So here we adapt an adaptive threshold choosing method to get the optimal Sobel result. The dissimilarities between the target model and the target candidates are expressed by a metric derived from the Bhattacharyya coefficient. Here we use both the counter cue to select the particles and the color cur to describe the targets as the mixture target model. The effectiveness of our scheme is demonstrated by real visual tracking experiments. Results from simulations and experiments with real video data show the improved performance of the proposed algorithm when compared with that of the standard particle filter. The superior performance is evident when the target encountering the occlusion in real video where the standard particle filter usually fails.

高功率激光器自动准直技术研究 学位论文 OAI收割
作者: 李红

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收藏 | 浏览/下载：35/0 | 提交时间：2018/12/26

高功率激光驱动器 High power laser facility 自动准直 Automatic alignment 图像处理 Image processing 自动控制 Automatic control 最小二值化 Binarization 耦合矩阵 Coupling matrix