No self-introduction
Loading
Profile
Follow
codes (5)
C clustering method based on pattern recognition i
no vote
Application background Road extraction.............................................. Key Technology Firstly, the color space of the image is transformed, then the image is clustered by C clustering. The image is classified into road and non road. Then the image is identified, and the experiment shows that the image is better.
nanakai 0 0
1
CNN method for the detection of road procedures
4.0
Application background Road recognition and extraction............................................... Key Technology CNN method is used to identify the road, the effect is good, not the road of remote sensing image.................
nanakai 0 0
1
Image texture extraction
no vote
Gray symbiotic matrix method to realize the image texture extraction and uses a lot of graphics experiment showed that, this method extract texture effect is good
nanakai 0 0
1
Line detection
no vote
Using a Gaussian template for line detection, I is used for remote sensing image road extraction, realizing that, the effect is very good, you can look at
nanakai 0 0
1
MATLAB implementation of remote sensing image clas
4.0
K-means algorithm is a typical point-by-point modified dynamically iterative clustering algorithms, is also a commonly used method, which is based on squared error criterion function. General practice is to select a number of representative points according to certain principles as the core of the cluster, and then put the rest of the points in a certain way (criterion) to go in and completes the initial classification. The initial classification is complete, recalculate the cluster Center , completed the first iteration. Then modify the cluster centers, so that for the next iteration. This change, there are two programmes, namely by modifying and lot-by-lot changes. Centre is a point-by-point modified class pixel samples belonging to a group according to a certain rule after the class, it is necessary to recalculate the mean value for this set of class
nanakai 13 0
1
No more~
Follows0
Fans0