遙感與圖像處理

《遙感與圖像處理》是2014年6月國防工業出版社出版的圖書，作者是周紹光。

內容簡介

全書以英語的形式闡述了遙感的基礎知識和遙感圖像處理的典型方法。主要內容包括: 遙感的定義,典型遙感系統的組成;常用的遙感感測器及平台,遙感影像的解析度,多光譜掃描和熱成像原理,圖像幾何失真的原因及校正方法;微波遙感的基礎知識介紹;遙感影像處理、分析和解譯的經典方法及部分先進的技術,利用ERDAS 和MATLAB 進行影像處理和分析的具體步驟;遙感在土地利用、土地覆蓋及城市熱環境等方面的套用。除了作為課程教材之外,本書還可以作為研究人員學習專業英語的參考書。

圖書目錄

contents

第一章

Chapter 1Introuduction to Fundamentals
1.1Definition of Remote sensing
1.2Electromagnetic Radiation

1.3The Electromagnetic Spectrum
1.4Interactions with the Atmosphere

1.5RadiationTarget Interactions

1.6Passive vs. Active Sensing

1.7Characteristics of Images

Exercises
第二章

Chaptr 2Satellites and Sensors

2.1On the Ground, In the Air, In Space
2.2Satellite Characteristics: Orbits and Swaths

2.3Spatial Resolution, Pixel Size, and Scale

2.4Spectral Resolution

2.5Radiometric Resolution

2.6Temporal Resolution

2.7Cameras and Aerial Photography

2.8Multispectral Scanning

2.9Thermal Imaging
2.10Geometric Distortion in Imagery
2.11Weather Satellites/Sensors
2.12Land Observation Satellites/Sensors
2.13Marine Observation Satellites/Sensors

2.14Other Sensors

2.15Data Reception, Transmission, and Processing
Exercises
第三章
Chapter 3Microwave Remote Sensing
3.1Introduction
3.2Radar Basics

3.3Viewing Geometry and Spatial Resolution

3.4Radar Image Distortions

3.5Target Interaction and Image Appearance

3.6Radar Image Properties

3.7Advanced Radar Applications
3.8Radar Polarimetry
3.9Airborne versus Spaceborne Radars

3.10Airborne and Spaceborne Radar Systems

3.10.1Airborne Radar Systems

3.10.2Spaceborne Radar Systems
Exercises

第四章

Chapter 4Image Interpretation & Analysis

4.1Introduction
4.2Elements of Visual Interpretation

4.3Preprocessing
4.3.1Radiometric Corrections
4.3.2Correction of Geometric Distortion
4.4Image Subsetting and Mosaicking

4.4.1Image Subsetting

4.4.2Image Mosaicking

4.5Image Enhancement

4.5.1Image Histogram
4.5.2Density Slicing

4.5.3Linear Enhancement

4.5.4Piecewise Linear Enhancement

4.5.5Lookup Table

4.5.6Nonlinear Stretching

4.6Spatial Filtering

4.6.1Neighborhood and Connectivity

4.6.2Kernels and Convolution

4.6.3Image Smoothing

4.6.4Median Filtering

4.6.5EdgeDetection Templates
4.7MultipleImage Manipulation

4.7.1Band Ratioing

4.7.2Vegetation Index
4.8Image Transformation

4.8.1PCA

4.8.2Tasseled Cap Transformation

4.8.3HIS Transformation

4.9Image Filtering in Frequency Domain

4.10Fundamentals of Classification

4.10.1Spectral Class versus Information Class

4.10.2Distance in the Spectral Domain

4.11Unsupervised Classification

4.11.1Moving Cluster Analysis

4.11.2Iterative SelfOrganizing Data Analysis
4.11.3Agglomerative Hierarchical Clustering

4.11.4HistogramBased Clustering

4.12Supervised Classification

4.12.1Procedure

4.12.2PerPixel Image Classifiers
4.13Unsupervised and Supervised Classification

4.14Other methods for classification

4.14.1Mean Shift Clustering

4.14.2Fuzzy Image Classification

4.14.3Neural Network

4.14.4Decision Tree

4.15Data Integration and Analysis

Exercises

第五章

Chapter 5Applications

5.1Introduction
5.2Land Use & Land Cover (Rural / Urban)

5.2.1Basic Concepts

5.2.2Change Detection Steps

5.2.3Common Satellite and Sensor in LULC Research

5.2.4Case Study
5.3Urban Thermal Environment

5.3.1Introduction

5.3.2Case studyYangtze River Delta

Exercises
第六章
Chapter 6ERDAS User’s Guide
6.1Introduction to ERDAS
6.2Getting Started

6.3Viewer
6.4Image Enhance
6.5Image Rectification
6.6Unsupervised Classification
6.7Supervised Classification

附錄

AppendixDigital Image Processing Using MATLAB

1Matrix Indexing
2Function Imadjust

3Logarithmic and ContrastStretching Transformation

4Generating and Plotting Image Histograms
5Linear Spatial Filtering
6Basic Steps in DFT Filtering
7Lowpass Frequency Domain Filters
8Dilation and Erosion

9Edge Detection Using Function edge
參考文獻

References