Cartographic generalization of cultivated land in hilly areas based on skeleton algorithm

Mo Su; Manchun Li; Songhui Wang; Mei Zhang

doi:10.1117/12.759692

1 August 2007 Cartographic generalization of cultivated land in hilly areas based on skeleton algorithm

Mo Su, Manchun Li, Songhui Wang, Mei Zhang

Proceedings Volume 6751, Geoinformatics 2007: Cartographic Theory and Models; 67510W (2007) https://doi.org/10.1117/12.759692
Event: Geoinformatics 2007, 2007, Nanjing, China

Abstract

The research introduces skeleton extraction algorithms into cartographic generalization to solve the problem of cartographic generalization of cultivated land polygons in hilly areas. The study selects southwest region of the Ningxiang County in the Changsha City as the research area and national land use survey on the scale of 1: 10000 as data source, chooses an appropriate skeleton extraction algorithm depending on the research purpose and data source, and propose an improved algorithm applicable for cultivated land in hilly area after a lot of experiments. And then the improved algorithm is applied to cartographic generalization work of cultivated land in the research area. Results show that: first, the improved skeleton extraction algorithm is simple, easy and efficient; secondly, under the condition that scale changes greatly, it could still retain the Figacteristics of cultivated land polygons' distribution and shape and satisfy the requirements of cartographic generalization and human vision.

Citation Download Citation

Mo Su, Manchun Li, Songhui Wang, and Mei Zhang "Cartographic generalization of cultivated land in hilly areas based on skeleton algorithm", Proc. SPIE 6751, Geoinformatics 2007: Cartographic Theory and Models, 67510W (1 August 2007); https://doi.org/10.1117/12.759692

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