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3 November 2008Research on land use/cover change of Wuhan based on object oriented image interpretation method
Higher resolution remote sensor has already become the significant instrument to obtain the change information quickly,
veraciously, and comprehensively. Two different remote sensing images are used to obtain the change information by
using an object oriented analyzing method in Land Use/Cover Change. Data is gathered according to the images'
resolution, characteristic, size and texture property of the earth surface objects. Meanwhile, the color, shape, smoothness,
and compactness of the images are reviewed to form many-adjacent-pixel objects which contain more semantic
information. Combined with the knowledge of land use classification and loading classifier of discriminate class, a
characteristic space is defined to establish a knowledge base. Two or three different typical features are chosen to serve
as the training samples, and a data base could be completed successfully. Non-segmented or error-segmented objects are
adjusting into correct ones favorably. Analyzing the data, only the areas of the lands for construction purpose and
reservoir and bottomland have been increased in the whole city, while the areas of arable land, river and lake land,
woodland, grassland, and not exploited or developed land have been decreased in more or less degree, which means that
a tendency to expansion has become more and more significant.
Haiyan Zhu andAiwen Lin
"Research on land use/cover change of Wuhan based on object oriented image interpretation method", Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71440A (3 November 2008); https://doi.org/10.1117/12.812700
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Haiyan Zhu, Aiwen Lin, "Research on land use/cover change of Wuhan based on object oriented image interpretation method," Proc. SPIE 7144, Geoinformatics 2008 and Joint Conference on GIS and Built Environment: The Built Environment and Its Dynamics, 71440A (3 November 2008); https://doi.org/10.1117/12.812700