Industrial/metal roof detection from hyperspectral image in an urban scene

Chaman Banolia; Shailesh Deshpande; Balamuralidhar P.

doi:10.1117/12.2648513

26 October 2022 Industrial/metal roof detection from hyperspectral image in an urban scene

Chaman Banolia, Shailesh Deshpande, Balamuralidhar P.

Proceedings Volume 12269, Remote Sensing Technologies and Applications in Urban Environments VII; 122690A (2022) https://doi.org/10.1117/12.2648513
Event: SPIE Remote Sensing, 2022, Berlin, Germany

Abstract

Industrial areas identification is an important problem in detecting urban land use. The industrial area contributes significantly to the carbon footprint and economic status of the region. Industrial buildings/factories are marked by metal roofs. We attempt to leverage this reasonably characteristic association for detecting industrial buildings. The foundation of our study is the spectral properties of industrial roofs which have high reflectance and flat spectrum. With these spectral properties of metal roofs, we have designed an algorithm with less time complexity as compared to the other approaches like matching reference signature with every pixel in the image or matched filter target detection approaches. The algorithm to detect the metal roof and hence industrial shade is divided into two main parts: 1. Calculating the relative reflectance of the image. 2. Calculating the spectral flatness of the pixels. In step one we use the high reflectance characteristics to calculate the relative reflectance of the image based on percentile brightness. In step two we use the flatness of the spectrum with the mean of consecutive band ratios. Thresholding on this band ratio gives us the industrial roof pixels. The algorithm is tested on the very well known hyperspectral images like Pavia University and Urban Image.

Citation Download Citation

Chaman Banolia, Shailesh Deshpande, and Balamuralidhar P. "Industrial/metal roof detection from hyperspectral image in an urban scene", Proc. SPIE 12269, Remote Sensing Technologies and Applications in Urban Environments VII, 122690A (26 October 2022); https://doi.org/10.1117/12.2648513

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KEYWORDS

Reflectivity

Metals

Hyperspectral imaging

Remote sensing

Vegetation

Visualization

Visible radiation

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