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The paper classifies urban land cover object-oriented. First, use the Mean Shift algorithm to segment the digital aerial image of study area. By changing the algorithm initial-parameters, different scales of the segmentation results are got, and an optimal scale segmentation result is selected from these results, as the data source of the classification process. Then, by analyzing the spectral features,...
Researches have suggested that fuzzy sets form a more appropriate basis for land cover mapping than traditional Boolean classification. However, to give a crisp answer of which land cover types pixels in remote sensing images belong to, fuzzy clustering methods such as FMC always lost some subtle vague information. In this paper, the result of the Boolean classification using a fuzzy clustering method...
Land use change is not only related to some natural, social and economic factors, but also influenced by land use structure, policies and value orientation, and the influence of driving factors are spatially unstable. To make the simulation of land use patterns more reasonable and accurate, CLUE-S model is applied and improved. The authors use GWR instead of logistic regression to build a regression...
Monitoring land use status timely is the basis of rational management of land resource, and the important gist for planning agriculture or even the whole national economy. Possessing the advantages of macroscopic information, real time, periodicity and integrity, remote sensing provide the possibility for monitoring land use quickly, objectively and precisely. This research uses CART algorithm to...
Searching for urban growth boundary, understanding the process of urban expansion and analyzing the evolution characteristics are of great practical significance to understand the city's historical evolution and to make the scientific planning. Meanwhile, remote sensing, geographical information science, Geo-Informatic Tupu provide the efficient means in such study. The aim of this paper is to discuss...
The landscape in Xinbei district of Changzhou was mapped based on planning land use classification by interpreting remote sensing images. Patch numbers, patch area, variation coefficient, shape index, fractal dimension index, Shannon's diversity index and Shannon's evenness index were selected to analyze landscape pattern in terms of structure, shape and diversity of the landscape. The result showed...
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