Automated Pixel Purification for Delineating Pervious and Impervious Surfaces in a City Using Advanced Hyperspectral Imagery Techniques

• Published in: IEEE access Vol. 12; pp. 82560 - 82583
• Main Authors: Sajadi, Payam, Gholamnia, Mehdi, Bonafoni, Stefania, Mills, Gerald, Sang, Yan-Fang, Li, Zeting, Khan, Salman, Han, Jiazheng, Pilla, Francesco
• Format: Journal Article
• Language: English
• Published: Piscataway IEEE 2024; The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
• Subjects: Accuracy; Algorithms; Cities; Classification; Classification algorithms; Computer vision; Grasslands; Hyperspectral image fusion; Hyperspectral imaging; Image enhancement; Image resolution; impervious-pervious surface; Land cover; land cover classification; Land surface; Land use; pixel purification; Pixels; Purification; Radiometry; Remote sensing; Spatial resolution; Spectral signatures; Training; Urban areas; Urban planning; Urbanization; Vegetation mapping

Conventional urbanization transforms natural into paved landscapes, posing a significant environmental challenge. Detecting the changes in (im)pervious surfaces in cities, where patches are small and intermingled, is particularly challenging. This study introduces a novel approach to these changes b...