| 摘要 | 第1-6页 |
| Abstract | 第6-18页 |
| Chapter 1 Introduction | 第18-35页 |
| ·Background | 第18-21页 |
| ·Literature Review | 第21-26页 |
| ·Problem Statement | 第26-29页 |
| ·Research Objectives and the Model of Approach | 第29-32页 |
| ·Research Contributions | 第32-34页 |
| ·Overview of The Thesis | 第34-35页 |
| Chapter 2 The Image Coding Techniques and the Algorithms to be Enhanced for Remote Sensing | 第35-52页 |
| ·Wavelet Transforms: an Introduction | 第35-37页 |
| ·Reversible Integer Wavelet Transform and Implementation | 第37-39页 |
| ·A Preview for Contourlet Transform | 第39-40页 |
| ·SPIHT Based Codec Structure | 第40-42页 |
| ·AT 3-D SPIHT for Hyperspectral Image Coding and Related Issues | 第42-46页 |
| ·A Preview and the Architecture of JPEG 2000 Codec | 第46-49页 |
| ·Encoder Output Characteristics Important for Remote Sensing | 第49-50页 |
| ·The Objective and Subjective Performance Evaluation Criterions | 第50-52页 |
| Chapter 3 ROI Image Coding Technology Enhancements and Research for Remote Sensing | 第52-79页 |
| ·Efficient Ground Observation ROI Image Coding Technique:Implementation and Wavelets Based Applications Analysis | 第53-65页 |
| ·Efficient Ground Observation ROI Image Coding With Modified Technology | 第55-60页 |
| ·Experimental Analysis and Results | 第60-64页 |
| ·Final Results of the Research and the Analysis | 第64-65页 |
| ·Feasibility Evaluation of General ROI Image Codec Techniques | 第65-68页 |
| ·Feasibility of ROI Coding Strategies in JPEG 2000 | 第66-68页 |
| ·Multitasking Algorithm for Fast Preview-ROI Lossless Coding of Hyperspectral Images with Size Reduction and Research | 第68-77页 |
| ·The Multitasking Algorithm with Modified Techniques | 第69-71页 |
| ·The Modified ROI Coding Approach with AT 3-D SPHIT Algorithm | 第71-72页 |
| ·Implementation of the Volumetric ROI Mask | 第72-73页 |
| ·The Modifications to AT 3-D SPHIT for ROI Coding | 第73-75页 |
| ·The ROI Coding Experimental Results | 第75-77页 |
| ·Chapter Summary | 第77-79页 |
| Chapter 4 Advanced JPEG 2000 Technology Explorations and the Novel Directional-Edge Coding Enhancement | 第79-92页 |
| ·JPEG 2000 Key Techniques for Larger Remote Sensing Image Coding | 第80-87页 |
| ·Lowering the Encoder Hardware Memory Consumption | 第80-84页 |
| ·CST with RLCP for Immediate Undersized Larger Image Reconstructions On-ground | 第84-85页 |
| ·Decoding Same Quality Images from a Sequence of Different Remote Sensing Images | 第85-87页 |
| ·The Novel Directional Edge Coding Enhancement for JPEG 2000 | 第87-91页 |
| ·Experimental Results | 第89-91页 |
| ·Chapter Summary | 第91-92页 |
| Chapter 5 Transforms Based Coding Technology Enhancements for Rich Texture Images | 第92-113页 |
| ·Wavelet Packet Transform Based Techniques | 第94-102页 |
| ·Efficient Filter Selection Novel Algorithm for RT-SE Image Coding | 第96-97页 |
| ·The Efficient Wavelet Filter Selecting Fair Experiments and the Results | 第97-102页 |
| ·Contourlet Transform Combined WPT Based Efficient Compression Method for Images with Contour Shaped Object Boundaries | 第102-111页 |
| ·The Contoutlet Transform Combined Wavelet Packet Transform (CCWPT) | 第103-108页 |
| ·The Efficiency Comparison Experimental Results | 第108-111页 |
| ·Chapter Summary | 第111-113页 |
| Conclusions | 第113-116页 |
| 结论 | 第116-118页 |
| References | 第118-127页 |
| Publications | 第127-129页 |
| Declaration | 第129-131页 |
| Acknowledgments | 第131-132页 |
| Resume | 第132-133页 |
