High resolution Remote Sensing Image retrieval Based on Multi-visual Feature and K-centroid Clustering
Journal Title: Remote Sensing - Year 2012, Vol 1, Issue 1
Abstract
At present , Resolution remote Sensing image retrieval based on single content has the problem of one-sided description and imprecise information. The color, shape and Texture features of remote sensing images were fully used and combined to form multi-vision remote sensing image retrieval in order to solve this problem. Through a series of iterative operations, the best proportionality coefficient for this three features to treat Types of remote sensing images can be obtained, which gets a better search result. Aiming at the problem of the retrieval speed are slow when searching the large image databasefor the color <b1 6>, shape andTexture features of the remote sensing image respectively , the improved k-centroid clustering algorithm which firstly clustered the images in the remote Sens ing image database is introduced to reduce the retrieval scope as as the improve the retrieval speed. The experimental results show that this method has the retrieval results.
Authors and Affiliations
Peng yanfei, Fang jinfeng, Zi lingling, Tang xiaoliang
Keywords
Related Articles
- EP ID EP680303
- DOI -
- Views 153
- Downloads 0
Analysis of the remote sensing prospecting technology for geological and mineral exploration
with the continuous development of science and technology in, the current exploration techniques used in t He traditional society has been optimized based on artificial prospecting technology based on the application of...
Application of new technology in pest control of forestry
Forestry is People's life , Social Development , important content for environmental protection . with the continuous development and progress of science and technology , Forest Pest prevention work to be replaced by new...
The development characteristics of remote sensing classification technology in the Study of vegetation classification
Summary Remote Sensing technology evolving , The applies to vegetation classification studies with the following features : one , Remote sensing data from low-resolution to high resolution ; second , data from the single...
Analysis of the application a Remote sensing Technology in the monitoring of Water Environment and Atmosphere Environment
For the Water environment and atmospheric environment monitoring, the remote sensing technology is one of the Important technical means, it not only can carry on the real-time monitoring of the water pollution and air po...
Problems and Countermeasures in the geological exploration of deep mineral
In view of the needs of the geological exploration of the deep mineral resources, the necessity, problems and Co Untermeasures of the geological exploration of the deep mineral resources are explored.