TY  - BOOK
AU  - Bargal, Mayur (PT200916)
AU  - Hahn, Michael (Guide)
AU  - Dave, Bindi (Guide)
TI  - Adapting pre-trained convolutional neural network for region based weed detection with UAV images (Also available on CD)
U1  - MG TH-0164 
PY  - 2018///
N1  - 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
ER  -