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CAS IR Grid
机构
地理科学与资源研究所 [4]
长春光学精密机械与物... [2]
自动化研究所 [2]
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上海应用物理研究所 [1]
沈阳自动化研究所 [1]
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OAI收割 [13]
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期刊论文 [6]
会议论文 [4]
SCI/SSCI论文 [2]
学位论文 [1]
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2022 [1]
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2017 [1]
2016 [3]
2012 [2]
2010 [2]
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激光应用;激光通信 [1]
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Robust and efficient edge-based visual odometry
期刊论文
OAI收割
COMPUTATIONAL VISUAL MEDIA, 2022, 页码: 15
作者:
Yan, Feihu
;
Li, Zhaoxin
;
Zhou, Zhong
  |  
收藏
  |  
浏览/下载:26/0
  |  
提交时间:2022/12/07
visual odometry (VO)
edge structure
distance transform
low-texture
EDT Method for Multiple Labelled Objects Subject to Tied Distances
期刊论文
OAI收割
International Journal of Automation and Computing, 2021, 卷号: 18, 期号: 3, 页码: 468-479
作者:
Andre Marasca
;
Andre Backes
;
Fabio Favarim
;
Marcelo Teixeira
;
Dalcimar Casanova
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/05/24
Euclidean distance transform (EDT)
multiple-labelled objects
tied distances
fractal analysis
texture analysis
Relative Radiation Correction Based on CycleGAN for Visual Perception Improvement in High-Resolution Remote Sensing Images
期刊论文
OAI收割
IEEE ACCESS, 2021, 卷号: 9, 页码: 106627-106640
作者:
Yu, Xiao
;
Fan, Junfu
;
Zhang, Mengzhen
;
Liu, Qingyun
;
Li, Yi
  |  
收藏
  |  
浏览/下载:36/0
  |  
提交时间:2021/11/05
Remote sensing
Radiometry
Visual perception
Generative adversarial networks
Visualization
Indexes
Image color analysis
GAN
image similarity
seasonal transform
visual perception distance
A low dose and in-vivo imaging system based on equally sloped tomography
会议论文
OAI收割
Melbourne, AUSTRALIA, APR 18-21, 2017
作者:
Zhou, GZ
;
Du, GH
;
Wang, YD
;
Wang, DD
;
Xiao, TQ
  |  
收藏
  |  
浏览/下载:34/0
  |  
提交时间:2019/12/31
X-RAY MICROTOMOGRAPHY
PHASE RETRIEVAL
FOURIER-TRANSFORM
DISTANCE
Unsupervised 3D Local Feature Learning by Circle Convolutional Restricted Boltzmann Machine
期刊论文
OAI收割
ieee transactions on image processing, 2016, 卷号: 25, 期号: 11, 页码: 5331-5344
作者:
Han, Zhizhong
;
Liu, Zhenbao
;
Han, Junwei
;
Vong, Chi-Man
;
Bu, Shuhui
收藏
  |  
浏览/下载:39/0
  |  
提交时间:2016/10/09
Circle convolutional restricted Boltzmann machine
deep learning
projection distance distribution
geometry processing
fourier transform modulus
3D shapes
Online Non-destructive Detection of Jujuble to Classify Infested and Intact Groups Based on Near Infrared Diffuse Reflection Spectra Analysis Technique
会议论文
OAI收割
2016 2nd International Conference on Mechanical, Electronic and Information Technology Engineering, Chongqing, China, May 21-22, 2016
作者:
Zhang CX(张翠侠)
;
Ma Y(马钺)
收藏
  |  
浏览/下载:30/0
  |  
提交时间:2016/09/13
Non-destructive detection
Near infrared spectrometry
Date pretreatment
De-noising
Wavelet transform
Derivative
Mahalanobis distance discriminant
Multi-Scale Blobs for Saliency Detection in Satellite Images
SCI/SSCI论文
OAI收割
2016
作者:
Zhou Y. N.
;
Luo, J. C.
;
Hu, X. D.
;
Shen, Z. F.
;
Yu, GR
收藏
  |  
浏览/下载:29/0
  |  
提交时间:2016/12/16
Multi-scale blob
Multi-level distance transform
Salient region
Object
center
Satellite image
remote-sensing images
features
scale
Multi-scale decomposition of point process data
期刊论文
OAI收割
GEOINFORMATICA, 2012, 卷号: 16, 期号: 4, 页码: 625-652
Pei, T
;
Gao, JianHuan(高建寰)
;
Ma, T
;
Zhou, CH
收藏
  |  
浏览/下载:52/0
  |  
提交时间:2013/04/08
Density based clustering method
Homogeneous point process
Wavelet transform
MCMC
EM
kth nearest distance
Multi-scale decomposition of point process data
SCI/SSCI论文
OAI收割
2012
作者:
Ma T.
;
Pei T.
收藏
  |  
浏览/下载:48/0
  |  
提交时间:2014/12/24
Density based clustering method
Homogeneous point process
Wavelet
transform
MCMC
EM
kth nearest distance
nearest-neighbor method
delaunay triangulation
density-estimation
genetic algorithm
spatial-patterns
cluster-analysis
model
features
inference
space
Image registration based on log-polar transform and SIFT features (EI CONFERENCE)
会议论文
OAI收割
2010 International Conference on Computational and Information Sciences, ICCIS2010, December 17, 2010 - December 19, 2010, Chengdu, Sichuan, China
作者:
Liu Y.
;
Liu Y.
;
Liu Y.
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2013/03/25
This paper describes a novel image registration method that combines log-polar transform and SIFT to recover similarity transformations (rotation/ scale/ translation).We extracts SIFT feature points in the two images firstly. Then
we use threshold Euclidean distance to coarsely match the feature points. After that
the log-polar transform is applied to compute the rotation and scale parameters. And we can obtain the translation parameter by the location relationship of the feature points. 2010 IEEE.