High-resolution landform classification using fuzzy k-means

By Peter A. Burrough, P. V. Gaans, R. MacMillan. Fuzzy Sets Syst., 2000

324 citations recorded by the source corpus.

Subfields: Environmental Engineering, Geography, Planning and Development, Water Science and Technology

View Paper: https://www.semanticscholar.org/paper/c9009365cd8c2d54fde1de75cebd22592a39716f

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

In Environmental Engineering

1. Lucian Dragut
2. Thomas Blaschke
3. Baharin bin Ahmad
4. Himan Shahabi
5. Mazlan Hashim
6. Peter A. Burrough

In Geography, Planning and Development

1. Lucian Dragut
2. Thomas Blaschke
3. Baharin bin Ahmad
4. Mazlan Hashim
5. Himan Shahabi
6. Peter A. Burrough

In Water Science and Technology

1. Thomas Blaschke
2. Lucian Dragut
3. Baharin bin Ahmad
4. Himan Shahabi
5. Mazlan Hashim
6. Peter A. Burrough

Citations in the corpus

• A generic procedure for automatically segmenting landforms into landform elements using DEMs, heuristic rules and fuzzy logic (2000, unknown): “Statistical classi cations based on ordination of numerical data in n-dimensional feature space, such as fuzzy k-means [21,7,8], can identify the optimum number of natural classes for a given landscape, the central concepts and boundaries for each class and the mathematical rules for assessing the d”
• Automated classification of landform elements using object-based image analysis (2006, methodology): “Even with enhanced cluster analysis methods, such as the incorporation of generalization algorithms (Friedrich, 1996; Romstad, 2001) or the application of fuzzy logic to relief data (Irvin et al., 1997; De Bruin and Stein, 1998; Burrough et al., 2000; MacMillan et al., 2000), pixeloriented approache”
• Fuzzy k-means classification of topo-climatic data as an aid to forest mapping in the Greater Yellowstone Area, USA (2001, methodology): “This procedure removes the artefacts obtained with a single derivation of the surface topology of a mathematically smooth surface ( Burrough et al. 2000 ).”
• Detecting change in vague interpretations of landscapes (2006, unknown): “…phenomena including soil information (Burrough, 1989; Burrough et al., 1992) climatic zones (McBratney and Moore, 1985), terrain classes (Burrough et al., 2000; Fisher et al., 2004; Schmidt and Hewitt, 2004), terrain–climate classes (Burrough et al., 2001), landscape ecology (Arnot et…”
• Remote sensing and GIS-based landslide susceptibility mapping using frequency ratio, logistic regression, and fuzzy logic methods at the central Zab basin, Iran (2015, methodology): “There are two basic methods for building fuzzy membership functions: the fuzzy k-means clustering (Burrough et al. 1998, 2000; Gorsevski et al. 2005) and the fuzzy semantic import (SI) model (Burrough et al. 1998; MacMillan et al. 2000; Gorsevski et al. 2006).”