A STUDY ON CADASTRAL COORDINATE TRANSFORMATION USING ARTIFICIAL NEURAL NETWORK

Currently, there are two cadastral coordinate systems used in Taiwan. They are TWD97 (Taiwan Datum 1997) and TWD67 (Taiwan Datum 1967) cadastral coordinate systems respectively. Frequently it is necessary to transform from one coordinate system to another. One of the widely used methods is Least-Squares with affine transformations. The artificial neural network (ANN) provides a new technology for cadastral coordinate transformation. The popularity of this methodology is rapidly growing. The greatest advantage of ANN is that it can be used very successfully with a huge quantity of data and free-model estimation that traditional transformation methods cannot be applied. In this paper, coordinate transformations between TWD67 and TWD97 with artificial neural network (ANN) and Least-Squares with affine transformations were examined. Three data sets with varied sizes from the Taiwan region are used to test the proposed algorithms. The test results show that the coordinate transformation accuracies using the ANN method are better than those of using other methods, such as, Least-Squares with affine transformations. The proposed algorithms and the detailed test results will be presented in this paper.