Lithological mapping and fuzzy set theory: Automated extraction of lithological boundary from ASTER imagery by template matching and spatial accuracy assessment

Salati, Sanaz; Ruitenbeek, F.J.A. van; Meer, Freek D. van der; Tangestani, Majid H.; Werff, H.M.A. van der

doi:10.1016/j.jag.2011.05.004

Cited by 22 publications

(13 citation statements)

References 42 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This was achieved by implementing a methodology based on that of Salati et al [9], which is outlined in Figure 4. Chi-squared (χ 2 ) distribution, and involves cross-tabulation of the number of validation pixels correctly and incorrectly classified using the two different approaches:…”

Section: Lithological Contact Accuracymentioning

confidence: 99%

“…This was achieved by implementing a methodology based on that of Salati et al [9], which is outlined in Figure 4. This methodology employs fuzzy set theory to determine the spatial association between the delineated and reference contacts.…”

Section: Lithological Contact Accuracymentioning

confidence: 99%

“…To account for positional errors associated with the mapping scale and co-registration between the two source datasets, a confidence region was defined on both sides of the reference contacts. In keeping with Salati et al [9], this buffer distance (W) was calculated as the sum of the inherent map error (Emap) and co-registration error (Ereg): This methodology employs fuzzy set theory to determine the spatial association between the delineated and reference contacts. In fuzzy set theory, elements are assigned a degree of membership to a set, with values ranging from 0 (i.e., not a member of the set) to 1 (i.e., a full member) on a continuous scale [57].…”

Section: Lithological Contact Accuracymentioning

confidence: 99%

Section: Lithological Contact Accuracymentioning

confidence: 99%

See 3 more Smart Citations

Evaluating the Use of an Object-Based Approach to Lithological Mapping in Vegetated Terrain

2016

View full text Add to dashboard Cite

Abstract:Remote sensing-based approaches to lithological mapping are traditionally pixel-oriented, with classification performed on either a per-pixel or sub-pixel basis with complete disregard for contextual information about neighbouring pixels. However, intra-class variability due to heterogeneous surface cover (i.e., vegetation and soil) or regional variations in mineralogy and chemical composition can result in the generation of unrealistic, generalised lithological maps that exhibit the "salt-and-pepper" artefact of spurious pixel classifications, as well as poorly defined contacts. In this study, an object-based image analysis (OBIA) approach to lithological mapping is evaluated with respect to its ability to overcome these issues by instead classifying groups of contiguous pixels (i.e., objects). Due to significant vegetation cover in the study area, the OBIA approach incorporates airborne multispectral and LiDAR data to indirectly map lithologies by exploiting associations with both topography and vegetation type. The resulting lithological maps were assessed both in terms of their thematic accuracy and ability to accurately delineate lithological contacts. The OBIA approach is found to be capable of generating maps with an overall accuracy of 73.5% through integrating spectral and topographic input variables. When compared to equivalent per-pixel classifications, the OBIA approach achieved thematic accuracy increases of up to 13.1%, whilst also reducing the "salt-and-pepper" artefact to produce more realistic maps. Furthermore, the OBIA approach was also generally capable of mapping lithological contacts more accurately. The importance of optimising the segmentation stage of the OBIA approach is also highlighted. Overall, this study clearly demonstrates the potential of OBIA for lithological mapping applications, particularly in significantly vegetated and heterogeneous terrain.

show abstract

Section: Lithological Contact Accuracymentioning

confidence: 99%

Section: Lithological Contact Accuracymentioning

confidence: 99%

Section: Lithological Contact Accuracymentioning

confidence: 99%

Section: Lithological Contact Accuracymentioning

confidence: 99%

See 2 more Smart Citations

Evaluating the Use of an Object-Based Approach to Lithological Mapping in Vegetated Terrain

2016

View full text Add to dashboard Cite

show abstract

“…Traditional EO lithological boundary detection is often subjective, with distinct variation occurring between expert analyses. Saliti et al (2011) …”

Section: Examples Of Eo In Geological Applicationsmentioning

confidence: 99%