A method for Road detection from high resolution
Abstract
In this paper, a road extracting to proposed by combining FLD feature extraction and shape feature. This
method has four main steps. Firstly, the color information of labeled the samples is extracted. Then, Fisher linear
discriminant is used to implement feature classification to segment the images into two Categories:ro AD and Non-road, according to the information extracted before. After that, the initial road network is extracted by threshold segmentation
to the result of according. Finally, the Road shape optimization features and morphological processing are used to
remove erroneous extraction and op Timize the extraction results. Experiment results show this proposed method can
realize the main road extraction from the remote sensing image with C Olor information.
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