中国科学院机构知识库网格系统: 检索

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	PV Identifier: Extraction of small-scale distributed photovoltaics in complex environments from high spatial resolution remote sensing images 期刊论文 OAI收割 APPLIED ENERGY, 2024, 卷号: 365, 页码: 123311 作者: Lu, Ning; Li, Liang; Qin, Jun \| 收藏 \| 浏览/下载：13/0 \| 提交时间：2024/07/12 Distributed PV segmentation PV identifier Fine-grained feature layer Semantic constraint module High spatial resolution remote sensing images
	LA-Net: layer attention network for 3D-to-2D retinal vessel segmentation in OCTA images 期刊论文 OAI收割 PHYSICS IN MEDICINE AND BIOLOGY, 2024, 卷号: 69, 期号: 4, 页码: 15 作者: Yang, Chaozhi; Li, Bei; Xiao, Qian; Bai, Yun; Li, Yachuan \| 收藏 \| 浏览/下载：27/0 \| 提交时间：2024/05/20 retinal vessel segmentation 3D-to-2D multi-scale layer attention reverse boundary attention OCTA volume
	Automatic Segmentation and Visualization of Choroid in OCT with Knowledge Infused Deep Learning 期刊论文 OAI收割 IEEE JOURNAL OF BIOMEDICAL AND HEALTH INFORMATICS, 2020, 卷号: 24, 期号: 12, 页码: 3408-3420 作者: Zhang, Huihong; Yang, Jianlong; Zhou, Kang; Li, Fei; Hu, Yan \| 收藏 \| 浏览/下载：29/0 \| 提交时间：2021/12/01 OPTICAL COHERENCE TOMOGRAPHY DIABETIC-RETINOPATHY LAYER SEGMENTATION LAMINA-CRIBROSA THICKNESS IMAGES VOLUME ENHANCEMENT VASCULARITY REMOVAL
	Collaborative Deconvolutional Neural Networks for Joint Depth Estimation and Semantic Segmentation 期刊论文 OAI收割 IEEE TRANSACTIONS ON NEURAL NETWORKS AND LEARNING SYSTEMS, 2018, 卷号: 29, 期号: 11, 页码: 5655-5666 作者: Liu, Jing; Wang, Yuhang; Li, Yong; Fu, Jun; Li, Jiangyun \| 收藏 \| 浏览/下载：65/0 \| 提交时间：2019/12/16 Deconvolutional neural network (DCNN) depth estimation fully connected conditional random field (CRF) pointwise bilinear layer semantic segmentation soft mapping strategy
	Reliable Fusion of Stereo Matching and Depth Sensor for High Quality Dense Depth Maps 期刊论文 OAI收割 SENSORS, 2015, 卷号: 15, 期号: 8, 页码: 20894-20924 作者: Liu, Jing; Li, Chunpeng; Fan, Xuefeng; Wang, Zhaoqi \| 收藏 \| 浏览/下载：24/0 \| 提交时间：2019/12/13 stereo matching depth sensor multiscale pseudo-two-layer model segmentation texture constraint fusion move
	视频图像运动目标分割研究学位论文 OAI收割工学博士, 中国科学院自动化研究所: 中国科学院研究生院, 2006 作者: 王嘉收藏 \| 浏览/下载：39/0 \| 提交时间：2015/09/02 视频分析运动目标分割全局运动运动分层立体视觉立体全局运动模型智能交通 Video analysis Moving object segmentation Global motion Motion layer Sterevision Stereo global motion model Intelligent traffic system
	Research on tracking approach to low-flying weak small target near the sea (EI CONFERENCE) 会议论文 OAI收割 ICO20: Optical Information Processing, August 21, 2005 - August 26, 2005, Changchun, China 作者: Xue X.-C. 收藏 \| 浏览/下载：33/0 \| 提交时间：2013/03/25 Automatic target detection is very difficult in complicate background of sea and sky because of the clutter caused by waves and clouds nearby the sea-level line. In this paper in view of the low-flying target near the sea is always above the sea-level line we can first locate the sea-level line and neglect the image data beneath the sea-level line. Thus the noise under the sea-level line can be suppressed and the executive time of target segmentation is also much reduced. A new method is proposed which first uses neighborhood averaging method to suppress background and enhance targets so as to increase SNR and then uses the multi-point multi-layer vertical Sobel operator combined with linear least squares fitting to locate the sea-level line lastly uses the centroid tracking algorithm to detect and track the target. In the experiment high frame rate and high-resolution digital CCD camera and high performance DSP are applied. Experimental results show that this method can efficiently locate the sea-level line on various conditions of lower contrast and eliminate the negative impact of the clutter caused by waves and clouds and capture and track target real-timely and accurately.