Spatial Landcover Classification Using Fuzzy Inference

http://ieeexplore.ieee.org/iel4/4280/12507/00576333.pdf

Soft clustering of multidimensional data: a semi-fuzzy approach

Landsat-4 Multispectral Scanner (MSS) and Thematic Mapper (TM) images of the Death Valley region in Cahforma are compared to demonstrate the Improved interpretability of geologic structures afforded by Landsat TM data. The greater spatial resolution of the Landsat TM data allows faults and folds to be interpreted more reliably; secondary features such as en echelon folds that cannot be resolved by MSS can be mapped with TM. Identifying en echelon folds associated with stnke-slIp faults and determInIng their onentation can help characterize the sense-of-strike separation. This addItIonal InformatIon may be critical to understanding the tectonics of an area.

A comparison of Landsat MSS and TM imagery for interpretation of geologic structure

A new pattern clasification algorithm named a table look-up maximum likelihood method was developed. It can achieve nearest processing speed as a conventional table look-up method in spite of the identical clasification accuracy with a maximum likelihood method. Hyperellipsoids defined by the same Mahalanobis' distance associated with each categories overlap each other in multidimensional feature space. Look-up tables in the new algorithm can be considered as orthogonal projections of these set of hyperellipsoids to each feature axes. As compared with a conventional table look-up algorithm, this algorithm is more simple, and in addition can remarkably reduce core memory requirements to store the table.Using this new algorithm, a LANDSAT MSS image and a high-altitude color infrared aerial photograph were clasified to examine processing times. The results indicated that these rocessing rates compared with the maximum likelihood method are four and seven times faster respectively.

Spatial Landcover Classification Using Fuzzy Inference

References

Soft clustering of multidimensional data: a semi-fuzzy approach

A comparison of Landsat MSS and TM imagery for interpretation of geologic structure

Table Look-Up Maximum Likelihood Method

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