Fractal approaches in texture analysis and classification of remotely sensed data: Comparisons with spatial autocorrelation techniques and simple descriptive statistics

By S. Myint. 2003

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Modeling and Detection of Geospatial Objects Using Texture Motifs (2006, background): “By measuring the fractal dimension of image surfaces, land cover in ATLAS images of Louisiana is classified [54] into six classes: singlefamily homes with less than 50% tree canopy, single-family homes with more than 50% tree canopy, commercial, woodland, agriculture, and water.”
A Review of Remote Sensing Image Classification Techniques: the Role of Spatio-contextual Information (2014, methodology): “For a better explanation, the following sections provide the definition of PNI, steps of incorporating PNI into k-means classification technique, and results and conclusions.”