| Description |
1 online resource (283 p.) |
| Contents |
Cover -- Half Title -- Title -- Copyright -- Contents -- Foreword -- Preface -- Authors -- Chapter 1 Introduction -- 1.1 Background and Significance -- 1.1.1 Background of Subpixel Mapping -- 1.1.2 Significance of Subpixel Mapping -- 1.2 Research Status of Subpixel Mapping -- 1.2.1 Initialize-Then-Optimize Subpixel Mapping -- 1.2.2 Soft-Then-Hard Subpixel Mapping -- 1.2.3 Other Types of Subpixel Mapping -- 1.2.4 Research Status of Super-Resolution Technology -- 1.3 Problems in Subpixel Mapping -- 1.4 Main Research Contents and Chapter Arrangement -- References |
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Chapter 2 Basic Principles of Subpixel Mapping -- 2.1 Introduction -- 2.2 Spectral Unmixing Method -- 2.2.1 Linear Spectral Unmixing Model -- 2.2.2 Non-linear Spectral Unmixing Model -- 2.3 Theoretical Basis of Spatial Correlation -- 2.4 Processing Flow of Subpixel Mapping -- 2.4.1 Subpixel Sharpening Method -- 2.4.2 Class Allocation Method -- 2.5 Evaluation Method of Subpixel Mapping Accuracy -- 2.6 Summary -- References -- Chapter 3 Subpixel Mapping Based on Single Remote Sensing Image -- 3.1 Introduction -- 3.2 Subpixel Mapping Based on Spatial-Spectral Interpolation |
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3.2.1 Interpolation Problem -- 3.2.2 Existing Subpixel Mapping Based on Interpolation -- 3.2.3 Processing Flow of the Proposed Method -- 3.2.4 Experimental Content and Result Analysis -- 3.3 Subpixel Mapping Based on Hopfield Neural Network With More Supervision Information -- 3.3.1 Traditional Subpixel Mapping Method Based on Hopfield Neural Network -- 3.3.2 Hopfield Neural Network With More Prior Information -- 3.3.3 Experiment Content and Result Analysis -- 3.4 Subpixel Mapping Based on Extended Random Walk -- 3.4.1 Multi-Scale Segmentation Algorithm -- 3.4.2 Extended Random Walk Algorithm |
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3.4.3 Class Allocation Method Based on Object Unit -- 3.4.4 Experimental Content and Result Analysis -- 3.5 Subpixel Mapping Based on Spatial-Spectral Correlation for Spectral Imagery -- 3.5.1 Spatial Correlation -- 3.5.2 Spectral Correlation -- 3.5.3 Spatial-Spectral Correlation Implementation -- 3.5.4 Experimental Content and Result Analysis -- 3.6 Summary -- References -- Chapter 4 Subpixel Mapping Based on Multi-Shift Remote Sensing Images -- 4.1 Introduction -- 4.2 Theoretical Basis -- 4.2.1 Multi-Shift Images Problem -- 4.2.2 Existing Subpixel Mapping Method Based on Multi-Shift Images |
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4.3 Subpixel Mapping Method Based on Multi-Shift With Spatial-Spectral Information -- 4.3.1 Multi-Shift Image With More Spatial-Spectral Information -- 4.3.2 Experiment Content and Result Analysis -- 4.4 Subpixel Mapping Based on the Spatial Attraction Model With Multi-Scale Subpixel Shifted Images -- 4.4.1 Subpixel-Pixel Spatial Attraction Model -- 4.4.2 Subpixel-Subpixel Spatial Attraction Model -- 4.4.3 Spatial Attraction Model With Multi-Scale Subpixel Shifted Image -- 4.4.4 Experiment Content and Result Analysis |
| Notes |
Description based upon print version of record |
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4.5 Utilizing Parallel Networks to Produce Subpixel Shifted Images With Multi-Scale Spatial-Spectral Information for Subpixel Mapping |
| Subject |
Land cover -- Remote sensing
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Subpixel imaging
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Image processing -- Digital techniques
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| Form |
Electronic book
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| Author |
Zhang, Lei
|
| ISBN |
9781000820751 |
|
1000820750 |
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