MUMBAI, India, July 11 -- Intellectual Property India has published a patent application (202521060963 A) filed by Dr. Nandkishor Narkhede; Anagha S. Aghav; Trupti Narkhede; Prashant Khedkar; and Pooja Polshetwar, Maharashtra, on June 26, for 'method and system for classification and change detection in high-resolution images of complex urban environments.'

Inventor(s) include Dr. Nandkishor Narkhede; Anagha S. Aghav; Trupti Narkhede; Prashant Khedkar; and Pooja Polshetwar.

The application for the patent was published on July 11, under issue no. 28/2025.

According to the abstract released by the Intellectual Property India: "The present invention provides a hybrid classification system and method for accurately classifying high-resolution satellite images and detecting temporal changes. The method uses a combination of Grey-Level Co-occurrence Matrix (GLCM) texture features and semi-variogram metrics in conjunction with spectral intensity values. The invention incorporates adaptive window size selection, weight optimization for hybrid classification, and pixel-wise differencing for change detection."

Disclaimer: Curated by HT Syndication.