01741nam 2200409z- 450 9910548274803321202203011000135415(CKB)5670000000208450(oapen)https://directory.doabooks.org/handle/20.500.12854/78910(oapen)doab78910(EXLCZ)99567000000020845020202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDeep Learning based Vehicle Detection in Aerial ImageryKarlsruheKIT Scientific Publishing20221 online resource (276 p.)Karlsruher Schriften zur Anthropomatik3-7315-1113-4 This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framework is extended by two novel components to improve the detection accuracy by enhancing the contextual and semantical content of the employed feature representation. To reduce the inference time, a lightweight CNN architecture is proposed as base architecture and a novel module that restricts the search area is introduced.Maths for computer scientistsbicsscAerial ImageryDeep LearningLuftbilddatenNeuronale NetzeObject DetectionObjektdetektionMaths for computer scientistsWilko Sommer Larsauth1327565BOOK9910548274803321Deep Learning based Vehicle Detection in Aerial Imagery3038022UNINA