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Based on the analysis and summarizations of researched home and aboard, the dissertation focused on Land Use/Cover
Change Detection Using Feature Database of basic types Based on Land Use span, which belongs to "Feature class" of
LUCC. It should be pointed out that the researches must be focused on the land use spans other then traditional methods
of the pixels.The main contributions of the study were summarized as follows:1. Feature extraction based on land use
span. The land use span is expressed by vector polygon along with raster region. First the spectrum feature database
with histogram, texture and shape feathers of the span is formed.2. Foundation and update of feature database. In detail,
firstly, by means of the sample spans according to land use map in time T1, the features of each type of the land use
classes are obtained in time T1. Secondly, each sample are analyzed, if the index of regional similarity between the
image spans of T1 and T2 is accepted, the samples in time T2 could be remained, otherwise the new samples around
that sample are selected and are judged by the similarity between the samples of T1. 3. Change detection based on spans
and feature database. Each spans of T2 will be classified according to the minimum Euclidean distance to the T2 sample
spans accepted, and the corresponding land use type will be assigned to the current span. 4. Change information is
extraction automatically based on Boolean operations. After classifications have been performed, the changed spans
were vectored, then the change information can be statistic through the different Boolean operations in GIS, and various
change analysis can be made (i.e. urbanization and loss of the stew). The method is tested on the Quick Bird images of a
district in Wuhan and the precision of the results is high as 85.7% (in loss of the stew) and 92.6% (in urbanization).
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