Li Lihua. The Measurement and the Application of the Modulation Transfer Function (MTF) of the Photographic System[J]. Geomatics and Information Science of Wuhan University, 1988, 13(1): 22-33.
Citation: Li Lihua. The Measurement and the Application of the Modulation Transfer Function (MTF) of the Photographic System[J]. Geomatics and Information Science of Wuhan University, 1988, 13(1): 22-33.

The Measurement and the Application of the Modulation Transfer Function (MTF) of the Photographic System

More Information
  • Received Date: July 31, 1987
  • Published Date: January 04, 1988
  • This paper puts emphasis on the measurement and the applications of MTF of the photographic system. Two filtering methods, i.e. the spatial domain filter and the speetral domain filter, have been compared and the result shows that the spectral domain filtering method is practical and effective. With regard to its, the paper proposes using the equivalent width of line spread function (EQW) as an image quality evaluating stan dard) the tests indicate that there is certainly similarity between 1/EQW and the resolution of the photograph. A tentative study of copy quality has also been made.
  • Related Articles

    [1]LONG Yujie, LI Weile, HUANG Runqiu, XU Qiang, YU Bin, LIU Gang. Automatic Extraction and Evolution Trend Analysis of Landslides in Mianyuan River Basin in the 10 Years After Wenchuan Earthquake[J]. Geomatics and Information Science of Wuhan University, 2020, 45(11): 1792-1800. DOI: 10.13203/j.whugis20200180
    [2]HE Chu, LIU Ming, XU Lianyu, LIU Longzhu. A Hierarchical Classification Method Based on Feature Selection and Adaptive Decision Tree for SAR Image[J]. Geomatics and Information Science of Wuhan University, 2012, 37(1): 46-49.
    [3]XIONG Biao, JIANG Wanshou, LI Lelin. Gauss Mixture Model Based Semi-Supervised Classification for Remote Sensing Image[J]. Geomatics and Information Science of Wuhan University, 2011, 36(1): 108-112.
    [4]TAO Jianbin, SHU Ning, GONG Yan, SHEN Zhaoqing. An Instructed Unsupervised Classification Method for Remote Sensing Image Based on Gaussian Mixture Model[J]. Geomatics and Information Science of Wuhan University, 2010, 35(6): 727-732.
    [5]SHEN Zhaoqing, SHU Ning, TAO Jianbin. An Algorithm of Weighted “1 V m” SVM Multi-classification for Hyperspectral Remote Sensing Image with NPA[J]. Geomatics and Information Science of Wuhan University, 2009, 34(12): 1444-1447.
    [6]ZOU Tongyuan, YANG Wen, DAI Dengxin, SUN Hong. An Unsupervised Classification Method of POLSAR Image[J]. Geomatics and Information Science of Wuhan University, 2009, 34(8): 910-913.
    [7]YIN Shuling, SHU Ning, LIU Xinhua. Classification of Remote Sensing Image Based on Adaptive GA and Improved BP Algorithm[J]. Geomatics and Information Science of Wuhan University, 2007, 32(3): 201-204.
    [8]CHEN Ziyi, KANG Lishan. Multi-Parent Crossover Evolutionary Algorithm for Constrained Optimization[J]. Geomatics and Information Science of Wuhan University, 2006, 31(5): 440-443.
    [9]CHENMi, YIYaohua, LIDeren, QINQianqing. Application of Projection Pursuit Based on Dynamical Evolutionary Algorithm to Anomaly Target Detection in Hyperspectral Images[J]. Geomatics and Information Science of Wuhan University, 2006, 31(1): 55-58.
    [10]Zheng Zhaobao, Zheng Hong. The Image Texture Classification Based on Genetic Algorithms[J]. Geomatics and Information Science of Wuhan University, 1998, 23(4): 337-339.

Catalog

    Article views PDF downloads Cited by()
    Related

    /

    DownLoad:  Full-Size Img  PowerPoint
    Return
    Return