中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
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CAS IR Grid
机构
长春光学精密机械与物... [2]
遥感与数字地球研究所 [1]
采集方式
OAI收割 [3]
内容类型
会议论文 [3]
发表日期
2010 [3]
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发表日期:2010
内容类型:会议论文
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Extracting sea-sky-line based on improved local complexity (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computer, Mechatronics, Control and Electronic Engineering, CMCE 2010, August 24, 2010 - August 26, 2010, Changchun, China
作者:
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浏览/下载:15/0
  |  
提交时间:2013/03/25
Sea-sky-line extraction under complicated sea-sky background is an important aspect of long-range target tracking research. An algorithm based on improved local complexity is proposed according to the feature that the sky and the sea usually show up at different gray levels in sea-sky background images. Median filter is applied first to remove peak noise
and then the point set of sea-sky-line region which has the greatest change in image is obtained by calculating the local complexity of image and selecting a segmentation threshold. Finally
Hough transform is used to extract the sea-sky-line. The experiment results indicate that this method can extract sea-sky-line under simple and complicated sea-sky backgrounds
which is robust and can improve noise immunity of the algorithm. 2010 IEEE.
Scene matching based on directional keylines and polar transform (EI CONFERENCE)
会议论文
OAI收割
2010 IEEE 10th International Conference on Signal Processing, ICSP2010, October 24, 2010 - October 28, 2010, Beijing, China
作者:
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
;
Wang Y.
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浏览/下载:19/0
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提交时间:2013/03/25
Scene matching under complex background is a priority and difficulty in the field of computer vision
it has the characteristics of rotation and scaling invariance
commonly used in matching real-time collected images and photos for navigation. Scene matching techniques are faced with complex natural scenes
anti-light and anti-slight-distortion
the image distortion exist
applicable for complex scene matching. The project has a new idea: combining the keylines with the vectors description based on polar image translation
such as light
and utilize the rotation-scale-invariance vectors to describe the extracted keylines
change of gray levels
this method includes three steps: keylines extraction
perspective
description and matching. Preliminary experiments show that this keylines-based scene matching algorithm is applicable for image matching under complex background. 2010 IEEE.
scaling and other differences
which cause matching difficult. This paper aims to find a scene matching algorithm
Building Extraction Using Dual-aspect High Resolution SAR Images
会议论文
OAI收割
2010 18th International Conference on Geoinformatics
Zhang, Fengli
;
Shao, Yun
;
Zhang, Xiao
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浏览/下载:14/0
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提交时间:2014/12/07
high resolution SAR
building extraction
dual-aspect
constant false
alarm rate algorithm
hough transform