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... [1]
遥感与数字地球研究所 [1]
生态环境研究中心 [1]
西安光学精密机械研究... [1]
采集方式
OAI收割 [4]
内容类型
会议论文 [2]
期刊论文 [2]
发表日期
2023 [1]
2020 [1]
2015 [1]
2010 [1]
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A Micro-Multispectral Vision Sensor: Research on on-line measurement classification and recognition method of coal gangue
会议论文
OAI收割
Beijing, China, 2023-07-25
作者:
Guo, Quan
;
Liu, Ruqi
;
Wu, Dengshan
;
Yu, Weixing
  |  
收藏
  |  
浏览/下载:11/0
  |  
提交时间:2024/02/07
Micro-Multispectral Vision Sensor
SVM
Classification and Recognition
Coal Gangue
Characterization of MSS Channel Reflectance and Derived Spectral Indices for Building Consistent Landsat 1-5 Data Record
期刊论文
OAI收割
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING, 2020, 卷号: 58, 期号: 12, 页码: 8967-8984
作者:
Chen, Feng
;
Fan, Qiancong
;
Lou, Shenlong
;
Yang, Limin
;
Wang, Chenxing
  |  
收藏
  |  
浏览/下载:49/0
  |  
提交时间:2021/08/31
Earth
Remote sensing
Artificial satellites
Vegetation mapping
Land surface
Sensor phenomena and characterization
Consistency
Landsat
multispectral scanner system (MSS)
spectral response function (SRF)
transformation
vegetation indices
In-Flight Radiometric Calibration for ZY-3 Satellite Multispectral Sensor by Modified Reflectance-Based Method
期刊论文
OAI收割
SPECTROSCOPY AND SPECTRAL ANALYSIS, 2015, 卷号: 35, 期号: 3, 页码: 305-326
作者:
Han Jie
;
Xie Yong
;
Gu Xing-fa
;
Yu Tao
;
Liu Qi-yue
收藏
  |  
浏览/下载:27/0
  |  
提交时间:2016/04/20
ZY-3 satellite
Multispectral sensor
Artificial target
Radiometric calibration
Research on automatic multispectral images synthesis of space camera (EI CONFERENCE)
会议论文
OAI收割
Optoelectronic Imaging and Multimedia Technology, October 18, 2010 - October 20, 2010, Beijing, China
作者:
Liu J.-G.
;
Wu X.-X.
;
Kong D.-Z.
;
Zhou H.-D.
收藏
  |  
浏览/下载:18/0
  |  
提交时间:2013/03/25
Multilinear CCD Sensor was often used on space cameras to obtain multispectral images with each line representing different band channels. However images of different band channels obtained at the same time didn't coincide as there were spaces between lines. Pixel numbers to be adjusted between images of different channels varied when the space camera worked by swaying forward and backward or adjusted row transfer period to compensate image movement. An automatic multispectral images synthesis algorithm of space camera was put forward on the basis of analysis of such phenomenon. In this algorithm a new evaluation function was used to determine pixel numbers to be adjusted and the image regions of each band channel to be clipped. In this way images of different band channels could be synthesized automatically to obtain an accurate colorful image. This algorithm can be used to dispose a large mount of images from space camera directly without any manual disposal so that efficiency could be improved remarkably. In validation experiments the automatic multispectral images synthesis algorithm was applied in synthesis of images obtained from outside scene experiment of a multispectral space camera. Result of validation experiments proved that the automatic multispectral images synthesis algorithm can realize accurate multispectral images synthesis of space camera and the efficiency can be improved markedly. 2010 SPIE.