Convolutional Neural Network-Based Automatic Object Detection on Aerial Images
| Autor: | C. Subramani, M. Jagadeesh Kumar, C. Vimala, T. Thenmozhi |
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| Rok vydání: | 2021 |
| Předmět: |
Discrete wavelet transform
Artificial neural network Computer science business.industry ComputingMethodologies_IMAGEPROCESSINGANDCOMPUTERVISION Image processing Object (computer science) Convolutional neural network Object detection Identification (information) Segmentation Computer vision Artificial intelligence business |
| Zdroj: | Sixth International Conference on Intelligent Computing and Applications ISBN: 9789811613340 |
| Popis: | Object identification is the one of the most developing area in image processing. In this paper proposed a neural network based object identification for aerial images. The computer is able to understand high level image are video for processing. Convolution neural network is detected the single object first and then detects the multiple objects. The input to an R-CNN is an image consisting of various instances, and output will be bounding boxes with the class label of the object. The input images are passed through discrete wavelet transform for pre processing. In this paper, it is mainly focused on object detection with segmentation. |
| Databáze: | OpenAIRE |
| Externí odkaz: |
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