Unmanned aerial vehicle aerial image road extraction method based on deep learning
A technology of road extraction and deep learning, applied in neural learning methods, computer parts, instruments, etc., can solve the problems of inapplicability to complex scenes and weak robustness, and achieve robustness enhancement and detection speed improvement. Effect
- Summary
- Abstract
- Description
- Claims
- Application Information
AI Technical Summary
Problems solved by technology
Method used
Image
Examples
Example Embodiment
[0043] See figure 1 As shown, the present invention is a deep learning-based UAV aerial image road extraction method. First, the high-resolution UAV aerial image is divided into blocks, and then the divided image is quickly calculated by multi-threaded parallel computing. Graph model, then large-scale mean filtering is performed based on the integral graph model, and then the road segmentation model is obtained through the full convolutional neural network, and finally the road area is repaired to complete the road detection. The specific steps are as follows:
[0044] S1. Segment the high-resolution UAV aerial image;
[0045] For a drone aerial image with a resolution of 6000*4000, the image is divided into 1000*500 48 small blocks. For each image, the road segmentation result is obtained separately, and the image blocks are finally merged to obtain the final road segmentation result. When calculating the integral graph model of the divided image, it can ensure that the value ran...
PUM
Abstract
Description
Claims
Application Information
- R&D Engineer
- R&D Manager
- IP Professional
- Industry Leading Data Capabilities
- Powerful AI technology
- Patent DNA Extraction
Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.
© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap