The methods of segment-based image analysis are becoming more and more important for remote sensing as a result of
the progresses in spatial resolution of satellite image. An approach to segmentation of IKONOS panchromatic image
based on frequency domain filtering and marker-controlled watershed transform is presented in the paper. Primarily the
texture and edge features are extracted from the response of log Gabor filtering. The texture features are obtained from
the amplitude response, and phase congruency is introduced as a new method to detect invariant edge features. Then an
approach to combining texture with edge features is presented and used to implement the marker-controlled watershed
segmentation. Combination of different frequency texture features is used to mark different complicated images. Finally
empirical discrepancy is calculated to evaluate the segmentation results. It shows that the precision of right segmentation
is up to 80~85%. The approach presented in the paper basically satisfies the demand of feature recognition and extraction
of high-resolution remotely sensed imagery.
Qixia District is located in the north east of Nanjing City in China. The most beautiful mountain in Nanjing is located in
this district. The District serves communication of Nanjing city. There are a total of 70 ports and harbors of different
types, Highways extend in all directions and radiate to all parts of Jiangsu Province (whereas Nanjing is the capital of
Jiangsu). The Shanghai-Nanjing highway, Yangtze River Bridge of Nanjing passes through the District. The District is a
major area with concentrated modern industry in Nanjing and has formed four pillar industries, such as medicine and
electronics, machine manufacture, new building materials and petrochemistry. The District has more than 30 universities,
colleges and research institutes within. Recently the IKONOS satellite is to collect images with one-meter resolution.
There was a need to acquire high spatial resolution images to classify the land use and land cover in the urban sites. This
district has agriculture and an important base of farming. There are historic sites of cultural. Four methods has been used
to extract the information from IKONOS image, the texture algorithm for this test are represent the vegetation are
depend on normalized differences and normalized difference vegetations indices NDVI the unsupervised classification
has been adopted to calcified the land cover in Qixia district while a new equation used to eliminated the non -vegetation
pixel depending on the reflectance spectrum of Items in the image. This investigation shows that the urban vegetation
cover in this district is contributing to mitigate the climate and decrease the pollution. This study probably help Qixia
District to rebuilt into a modern riverside new district with beautiful landscape, to give more favorable social
environment and a more wealthy life for its people.
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