Adapting pre-trained convolutional neural network for region based weed detection with UAV images (Also available on CD)
Bargal, Mayur (PT200916)
Adapting pre-trained convolutional neural network for region based weed detection with UAV images (Also available on CD) - 2018 - vi,xviii,53,xv-xxxip.,CD-ROM
CONTENTS
Certificate of original authorship i
Certificate of Dissertation Advisor’s consent iii
Thesis Completion Certificate from HFT, Stuttgart v
Thesis Completion Certificate from CEPT, Ahmedabad vii
Acknowledgments ix
Abstract xi
Index for Figures xiii
Index for Tables xv
1 Introduction 1
1.1 Project Brief 1
1.1.1 Need for the Study 2
1.1.2 Problem Scenario 3
1.1.3 Introduction to Neural Networks 3
1.1.4 Introduction to Convolutional Neural Network 7
1.1.5 Region/Object Based Labelling 12
1.1.6 Deep Learning 18
1.1.7 Unmanned Aerial Vehicles (UAV’s) 18
1.2 Aim 19
1.3 Objective 19
1.4 Methodology 19
1.4.1 Data 19
1.4.2 Tools 22
1.4.3 Work Flow 24
1.5 Chapter Scheme and scope of Study 32
2 Theoretical Background 33
3 Study Area 37
3.1 Dataset 1 37
3.2 Dataset 2 42
4 RESULT AND ANALYSIS 44
4.1 Result on Classification 44
5 CONCLUSION AND FUTURE SCOPE 49
5.1 Conclusion 49
5.2 Future Scope 50
References 51
Abbreviations xvii
Appendices 1 – LMDB script xviii
Appendix 2 - Network Definition: FCN8s+ Classifier xxi
Appendix III – Network Definition L FCN8s + Decoder xxiv
Appendix IV – Network Definition: VGG16+FCN xxviii
Plagiarism Report xxxii
MG TH-0164 / BAR
Adapting pre-trained convolutional neural network for region based weed detection with UAV images (Also available on CD) - 2018 - vi,xviii,53,xv-xxxip.,CD-ROM
CONTENTS
Certificate of original authorship i
Certificate of Dissertation Advisor’s consent iii
Thesis Completion Certificate from HFT, Stuttgart v
Thesis Completion Certificate from CEPT, Ahmedabad vii
Acknowledgments ix
Abstract xi
Index for Figures xiii
Index for Tables xv
1 Introduction 1
1.1 Project Brief 1
1.1.1 Need for the Study 2
1.1.2 Problem Scenario 3
1.1.3 Introduction to Neural Networks 3
1.1.4 Introduction to Convolutional Neural Network 7
1.1.5 Region/Object Based Labelling 12
1.1.6 Deep Learning 18
1.1.7 Unmanned Aerial Vehicles (UAV’s) 18
1.2 Aim 19
1.3 Objective 19
1.4 Methodology 19
1.4.1 Data 19
1.4.2 Tools 22
1.4.3 Work Flow 24
1.5 Chapter Scheme and scope of Study 32
2 Theoretical Background 33
3 Study Area 37
3.1 Dataset 1 37
3.2 Dataset 2 42
4 RESULT AND ANALYSIS 44
4.1 Result on Classification 44
5 CONCLUSION AND FUTURE SCOPE 49
5.1 Conclusion 49
5.2 Future Scope 50
References 51
Abbreviations xvii
Appendices 1 – LMDB script xviii
Appendix 2 - Network Definition: FCN8s+ Classifier xxi
Appendix III – Network Definition L FCN8s + Decoder xxiv
Appendix IV – Network Definition: VGG16+FCN xxviii
Plagiarism Report xxxii
MG TH-0164 / BAR