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1)  image registration
图像校准
1.
Theory analysis and experiments show that our method is effective and feasible to do multimodal image registration.
提出了一种基于图像频带一致性的多模态图像校准算法,该方法通过调整图像频谱的带宽,利用带宽调整后图像的强度对代替传统互信息定义中的图像灰度值,可以有效地克服互信息的局部极值问题。
2)  Image measurement calibration
图像测量校准
3)  image position adjustment
图像位置校准
4)  camera calibration
像机校准
1.
Stereo camera calibration based on accurate control points;
基于精确控制点的立体像机校准技术(英文)
5)  pixel calibration
像素校准
1.
Due to the presence of pixel deviation in 32-channel MMW focal plane imaging,a novel pixel calibration method based on data dependence is proposed.
针对32通道毫米波焦平面成像中存在的像素偏移,提出了基于数据相关性进行像素校准的方法。
6)  image correction
图像校正
1.
Image correction techniques for large-aperture static imaging spectrometer;
大孔径静态干涉成像光谱仪图像校正技术
2.
Methods The forming factors of the Micro CT projective image noise were analyzed,and proposed the Micro CT projective image correction method to correct the random noise,dark field,light field,response nonuniformity and defect picture element and eliminate the random noise and the ring artifact respectively.
方法:分析了Micro CT投影图像的噪声形成因素,提出了Micro CT投影图像校正的方法,分别针对随机噪声、暗场、光场、响应不一致和瑕疵像元进行了校正。
3.
Some calibration points need to be placed in the shooting region by the traditional image correction, and then the image is corrected based on the knowledge of the computer vision.
传统的图像校正方法需要在拍摄现场布放若干标定点。
补充资料:高光谱分辨率遥感图像及图像光谱信息提取


高光谱分辨率遥感图像及图像光谱信息提取


  高光谱分辨率遥感图像及图像光谱信息提取 郑兰芬供稿
  
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