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长春光学精密机械与物... [6]
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OAI收割 [6]
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期刊论文 [4]
会议论文 [2]
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专题:长春光学精密机械与物理研究所
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改进YOLO V3遥感图像飞机识别应用
期刊论文
OAI收割
电光与控制, 2019, 卷号: 26, 期号: 04, 页码: 28-32
作者:
郑志强
;
刘妍妍
;
潘长城
;
李国宁
  |  
收藏
  |  
浏览/下载:9/0
  |  
提交时间:2020/08/24
卷积神经网络
YOLO V3
K-means
Densenet
飞机识别
遥感图像
结合Harris角点的栅格状雷达的检测方法
期刊论文
OAI收割
小型微型计算机系统, 2016, 期号: 5, 页码: 1039-1043
作者:
赵敏达
;
李峰
;
孙涛
;
凌强
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2017/09/17
k-means聚类
角点检测
雷达检测
聚类与几何特征相结合的遥感图像多类人造目标检测算法
期刊论文
OAI收割
光电子·激光, 2015, 期号: 05, 页码: 992-999
作者:
王慧利
;
朱明
收藏
  |  
浏览/下载:13/0
  |  
提交时间:2016/07/06
人造目标检测
高分辨率遥感图像
直线段提取
k-means聚类
基于聚类和局部信息的离群点检测算法
期刊论文
OAI收割
吉林大学学报(理学版), 2012, 期号: 06, 页码: 1214-1217
作者:
张强
收藏
  |  
浏览/下载:17/0
  |  
提交时间:2013/03/11
离群点检测
k-means聚类
局部离群因子
Automatic bridge extraction for optical images (EI CONFERENCE)
会议论文
OAI收割
6th International Conference on Image and Graphics, ICIG 2011, August 12, 2011 - August 15, 2011, Hefei, Anhui, China
Gu D.-Y.
;
Zhu C.-F.
;
Shen H.
;
Hu J.-Z.
;
Chang H.-X.
收藏
  |  
浏览/下载:16/0
  |  
提交时间:2013/03/25
This paper describes a novel hierarchy algorithm for extracting bridges over water in optical images. To reduce the omission of bridges by searching the edge
we extract the river regions which the bridges are included in. Firstly
we segment the optical image to get the coarse water bodies using iterative threshold
eliminate the noise regions and add the missing regions based on k-means clustering with texture information and spatial coherence. Then
the blanks are connected based on shape features and candidate bridge regions are segmented from river regions. Finally
the bridges are verified by geometric information and the ubiety between bridges and river. The results show that this approach is efficient and effective for extracting bridges in satellite image from Google Earth and in aerial optical images acquired by unmanned aerial vehicle. 2011 IEEE.
Study on medical X-ray coherent scatter imaging and processing based digital flat detector (EI CONFERENCE)
会议论文
OAI收割
3rd International Conference on BioMedical Engineering and Informatics, BMEI 2010, October 16, 2010 - October 18, 2010, Yantai, China
作者:
Li B.
;
Zhao J.
;
Li B.
;
Li B.
;
Liu J.
收藏
  |  
浏览/下载:21/0
  |  
提交时间:2013/03/25
It is introduced a novel imaging technique for medical diagnostic X-ray coherent scatter in this paper. A set of experimental equipment for X-ray coherent scatter imaging was set up with X-ray digital flat detector and medical diagnostic X-ray source. According to this equipment
the scatter images obtained are made of some circles with the same center. It is vital to calculate the energy template to classify the different samples. It is difficult to separate them using the traditional threshold method due to noise and overlapped shadow. In this paper
the image was transformed a binary image by using K-Means algorithm and Mathematical Morphology Methods. The effective region was extracted from the binary image inside the orthogonal energy projection space
then to calculate the centroid of rings. Consequently the curve of the energy distribution was built. The experiment results show that our method is reasonable and feasible. The technique will have wide foreground of application .Besides the imaging of human bone content
it can be used for various imaging of tissue and organs in biology. 2010 IEEE.