[IEEE IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Valencia, Spain (2018.7.22-2018.7.27)] IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium - Representative Signature Generation for Plant Detection in Hyperspectral Images

摘要： In this study, the effect of utilizing different type of signatures on plant detection success is evaluated on hyperspectral aerial images. Plant regions are tried to detect using spectral signatures of leaf, stem and tassel belonging to the plant separately and the plant representative signature (PRS) is created by averaging of signatures of selected region on the aerial images. The signatures used for detection are generated from hyperspectral images taken from 10m distance to target plant. The Spectral Angle Mapper (SAM) and Generalized Likelihood Ratio Test (GLRT) algorithms are used for target detection. Performance evaluation is made by Receiver Operating Characteristic (ROC) curves. When the results are evaluated, it is observed that the detection performance with the use of PRS is higher.