000			01753nam a22001817a 4500
999			_c54505 _d54505
082			_aMG TH-0164 _bBAR
100			_aBargal, Mayur (PT200916) _962732
245			_aAdapting pre-trained convolutional neural network for region based weed detection with UAV images (Also available on CD)
260			_c2018
300			_avi,xviii,53,xv-xxxip.,CD-ROM
505			_aCONTENTS 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
700			_aHahn, Michael (Guide) _942051
700			_aDave, Bindi (Guide) _962733
890			_aIndia
891			_a2016 Batch
891			_aFT-PG
891			_aM.Sc. Geomatics