Assessment of spectral behaviour for urban features using hyperspectral-imagery (Soft copy is also available)
Patel, Jenish Vijaykumar (PG180379)
Assessment of spectral behaviour for urban features using hyperspectral-imagery (Soft copy is also available) - 2020 - xviii,56p.
Table of contents
Certificate of Original Authorship i
Certificate of Dissertation - Advisor’s consent iii
Certificate of Dissertation - Program Chair v
Acknowledgments vii
Abstract xi
List of figures xv
List of tables and equations xviii
1 INTRODUCTION 1
1.1 Background 1
1.2 What is Hyperspectral data? 2
1.3 Why Hyperspectral data? 3
1.4 Understanding Applications of Hyperspectral data: 4
2 DATA used 6
2.1 Study Area7
3 AIM8
3.1 OBJECTIVE 8
4 Literature Review9
4.1 Data Fusion 9
4.2 Morpho-spectral Understanding 10
4.3 Understanding Spectral Libraries for Different material Composition 11
4.4 Classification Techniques 12
4.5 Understanding Similarity and dis-similarity12
5 Methodology 14
5.1 Fusion Results15
5.1.1 Principal Component Analysis 16
5.1.2 NN-Diffuse 17
5.1.3 Gram-Schmidt17
5.2 Evaluation of fused Image 21
5.2.1 Qualitative Assessment 21
5.2.2 Quantitative Assessment 21
5.3 Spectral Reflectance22
5.4 Understanding the absorption for different materials 23
5.5 Spectral angle mapper28
5.6 Segmentation32
Setting Up Merge and Scale Level 35
Types of Attributes35
6 Conclusion 46
Referencesxlviii
Appendix 1: XYZ lii
Appendix 2: XYZ 54
Plagiarism Report Copy55
MG TH-0190 / PAT
Assessment of spectral behaviour for urban features using hyperspectral-imagery (Soft copy is also available) - 2020 - xviii,56p.
Table of contents
Certificate of Original Authorship i
Certificate of Dissertation - Advisor’s consent iii
Certificate of Dissertation - Program Chair v
Acknowledgments vii
Abstract xi
List of figures xv
List of tables and equations xviii
1 INTRODUCTION 1
1.1 Background 1
1.2 What is Hyperspectral data? 2
1.3 Why Hyperspectral data? 3
1.4 Understanding Applications of Hyperspectral data: 4
2 DATA used 6
2.1 Study Area7
3 AIM8
3.1 OBJECTIVE 8
4 Literature Review9
4.1 Data Fusion 9
4.2 Morpho-spectral Understanding 10
4.3 Understanding Spectral Libraries for Different material Composition 11
4.4 Classification Techniques 12
4.5 Understanding Similarity and dis-similarity12
5 Methodology 14
5.1 Fusion Results15
5.1.1 Principal Component Analysis 16
5.1.2 NN-Diffuse 17
5.1.3 Gram-Schmidt17
5.2 Evaluation of fused Image 21
5.2.1 Qualitative Assessment 21
5.2.2 Quantitative Assessment 21
5.3 Spectral Reflectance22
5.4 Understanding the absorption for different materials 23
5.5 Spectral angle mapper28
5.6 Segmentation32
Setting Up Merge and Scale Level 35
Types of Attributes35
6 Conclusion 46
Referencesxlviii
Appendix 1: XYZ lii
Appendix 2: XYZ 54
Plagiarism Report Copy55
MG TH-0190 / PAT