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During past decades, land use and land cover change detection techniques have undergone substantial development. However, different scenarios and an integrated workflow linking remote sensing imagery and GIS are often neglected. As a result, we develop a land use and land cover change detection and extraction system and propose five scenarios considering data availability and different classification...
There are several methods to estimate fractal dimension in fractional Brownian motion model. In this paper, one of methods, the variance method, is analyzed detailedly, and some problems in the method are pointed out. To resolve the problems, an improved method is proposed. To validate the method, a comparing experiment of two methods is designed. In the experiment, a SPOT image is selected and five...
Decision tree classification techniques have been used for a wide range of classification problems and becoming an increasingly important tool for classification of remotely sensed data. These techniques have substantial advantages for land use classification problems because of the reflexibility, nonparametric nature, and ability to handle non-linear relations between features and classes. In this...
The paper presents some methods to obtain a reliable land scale for orchard demand in Hubei province. Benefit from its advantaged geographic position, Hubei is famous for its agriculture land resources. The orchard have made phenomenal progress over the years, especially orange, apple, pear, peach grow have already form a system of considerable size, moreover, Hubei is one of the chief tea-producing...
As spatial data mining involves geographic space and attribute space, both of which have a high relevance to each other, how to synthetically extract abstract concept of the two spaces to a higher hierarchy is becoming a new hotspot. Reviewing former approaches, it is possible to discover that the relationship between these two spaces is simply exhibited by weight in these approaches. Furthermore,...
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