About this document
Multiscale CNN for Road Detection by ogunrinola olawale is a document available to read on EtoBox.
This document presents a novel road detection method that integrates a multiscale deep residual convolution neural network (MDRCNN) with postprocessing techniques to enhance the accuracy and efficiency of road extraction from high-resolution remote sensing images. The proposed method addresses challenges such as intra-class variation and road fractures by utilizing multiscale convolution, residual connections, and sector descriptor tracking. Experimental results demonstrate that this approach outperforms tr
- Author
- ogunrinola olawale
- Language
- EN