01724nam 2200397z- 450 991054827480332120231214133236.01000135415(CKB)5670000000208450(oapen)https://directory.doabooks.org/handle/20.500.12854/78910(EXLCZ)99567000000020845020202203d2022 |y 0engurmn|---annantxtrdacontentcrdamediacrrdacarrierDeep Learning based Vehicle Detection in Aerial ImageryKarlsruheKIT Scientific Publishing20221 electronic 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 scientistsbicsscObjektdetektionNeuronale NetzeLuftbilddatenObject DetectionDeep LearningAerial ImageryMaths for computer scientistsWilko Sommer Larsauth1327565BOOK9910548274803321Deep Learning based Vehicle Detection in Aerial Imagery3038022UNINA