本书是北京大学研究生必修课“高级遥感数字图像处理”教学和研究生专题研讨相结合历经十八年的结晶，力图为遥感数字图像处理提供一部尽可能详细的数学物理手册。
本书可用于空间信息、遥感等地球观测领域研究人员学习、教学，是理解其他遥感图像处理书籍中数学物理本质和相互关系的重要参考书。

晏磊，北京大学教授，中国感光学会遥感专业委员会主任，中国测绘学会摄影测量与遥感专业委员会副主任，IEEE Senior Member，国际知名期刊IJRS（international Journalof Remote Sensing）专家指导委员会主席，创建了空间信息集成与3S工程应用北京市重点实验室（北京大学）。
作者长期致力于偏振遥感领域研究，于2008年系统地提出了地物偏振遥感波谱理论，于2011年建立了大气偏振遥感理论，于2016年发现了天空偏振矢量场效应规律。成果获国家技术发明二等奖1项，省部级一等奖2项，国家知识产权局优秀发明专利奖1项，日内瓦国际发明金奖1项。

Part Ⅰ The System and the Overall Processing Foundation
1 Overview of Remote Sensing Digital Image Processing
1.1 Remote Sensing Systems
1.1.1 Remote Sensing Information Acquisition Systems
1.1.2 Remote Sensing Digital Image Processing Systems
1.2 Remote Sensing Digital Images
1.2.1 Concept of Remote Sensing Digital Images
1.2.2 Characteristics of Remote Sensing Digital Images
1.2.3 Resolution Characteristics of Remote SensingDigital Images
1.2.4 Format of Remote Sensing Digital Image
1.3 Remote Sensing Digital Image Processing
1.3.1 Remote Sensing Digital Image Processing Method
1.3.2 Inversion of Remote Sensing Digital Images
1.4 Framework of This Book
References
2 System Support Conditions for Remote Sensing Digital Image Processing and Analysis
2.1 Digital Image Sensors
2.1.1 CCD Image Sensor
2.1.2 CMOS Image Sensor
2.1.3 Comparison of CMOS and CCD Image Sensors
2.2 Digital Image Input
2.2.1 Principle of Image Digitization
2.2.2 Digital Image Instruments
2.2.3 r Correction
2.2.4 Point Spread Function
2.2.5 Modulation Transfer Function
2.3 Digital Image Display
2.3.1 Display Characteristics
2.3.2 Low-Frequency Response
2.3.3 High-Frequency Response
2.4 Remote Sensing Image Processing Software and Design
2.4.1 Commonly Used Remote Sensing Image Processing Software
2.4.2 Design of Remote Sensing Digital Image Processing Software
2.4.3 Example of Image Processing Software
2.5 Summary
References
3 Mathematical Basis for the Overall Processing and Analysis of Remote Sensing Digital Images
3.1 Grayscale Histograms and Probability
3.1.1 Probability Density of the Histogram
3.1.2 Histogram Applications
3.2 Point Operations and Function Transformation
3.2.1 Types and Characteristics of Point Operations
3.2.2 Function Transformation of Point Operations
3.2.3 Applications of Point Operations
3.3 Algebraic Operations and Convolution
3.3.1 Addition Operations
3.3.2 Subtraction Operations
3.3.3 Multiplication Operations
3.3.4 Division Operations
3.4 Geometric Operations and Matrices
3.4.1 Methods to Implement Geometric Operations
3.4.2 Spatial Transformation
3.4.3 Grayscale Level Interpolation
3.4.4 Matrix of Geometric Operations
3.4.5 Applications of Geometric Operations
3.5 Summary
References
4 Physical Foundation and Global Analysis of Remote Sensing Digital Images
4.1 Model of an Imaging System and Propagation of Light Waves
4.1.1 Black-Box Model of Optical Imaging System
4.1.2 The Huygens Principle of Light Wave Propagation
4.1.3 Fresnel Approximation
4.1.4 Abbe Principle of Image Formation and Spatial Filtering
4.2 Transfer Function of an Optical System
4.2.1 Optical Imaging System Under the Diffraction
……
Part Ⅱ Pixel Processing Theory and Methods
Part Ⅲ Technology and Application