In this paper, we present a novel cascaded deep neural network architecture, incorporating multi -stage region proposal detection and Hough transform to obtain ...
A novel cascaded deep neural network architecture is presented, incorporating multi -stage region proposal detection and Hough transform to obtain better ...
Traditional building extraction methods utilize the threshold or design feature operators according to the characteristics of spectrum, texture, geometry, and ...
Hough Transform Guided Deep Feature Extraction for Dense Building Detection in Remote Sensing Images. Qingpeng Li, Yunhong Wang, Qingjie Liu, Wei Wang.
Hough transform guided deep feature extraction for dense building detection in remote sensing images. Q Li, Y Wang, Q Liu, W Wang. 2018 IEEE International ...
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What is feature extraction using Hough transform?
What is shape detection with Hough transform?
The edge image is then converted into vector form using the Hough transform, which is a widely used technique for extracting the lines or curves of the objects.
Hough transform guided deep feature extraction for dense building detection in remote sensing images[C]//Proceedings of 2018 IEEE International Conference ...
An effective and anti-noise road extraction method by using wavelet transform and Hough transform is proposed, which is testified by the results of the ...
Hough transform guided deep feature extraction for dense building detection in remote sensing images. Q Li, Y Wang, Q Liu, W Wang. 2018 IEEE International ...
Mar 6, 2020 · In this paper, we consider building extraction from high spatial resolution remote sensing images. At present, most building extraction ...