MUMBAI, India, May 1 -- Intellectual Property India has published a patent application (202641049983 A) filed by Sree Chaitanya College Of Engineering, Karimnagar, Telangana, on April 20, for 'extraction of main urban roads from high resolution satellite images by machine learning.'
Inventor(s) include Ms. Muddham Nirmala; Mr. Garige Anil Kumar; Ms. Bagat Archana; and Ms. Yada Sandya.
The application for the patent was published on May 1, under issue no. 18/2026.
According to the abstract released by the Intellectual Property India: "This works focuses on automatic road extraction in urban areas from high resolution satellite images. We propose a new approach based on machine learning. First, many features reflecting road characteristics are extracted, which consist of the ratio of bright regions, the direction consistency of edges and local binary patterns. Then these features are input into a learning container, and AdaBoost is adopted to train classifiers and select most effective features. Finally, roads are detected with a sliding window by using the learning results and validated by combining the road connectivity. Experimental results on real Quick bird images demonstrate the effectiveness and robustness of the proposed method."
Disclaimer: Curated by HT Syndication.
