QMap - Quick & Accurate Universal Image Information Extraction Solution
This is a completely new way to extract useful information on images.
Through our original algorithm, the specific image information can be separated from the complex colors, and the result from the test to the result is fast and accurate, achieving high efficiency. At the same time, the parameters obtained by one test analysis are also effective for the information extraction of similar images, that is, the feature It has strong performance and achieves the result of obtaining the same information unknown on other images from known parameters.
In addition, the detailed classification of similar image information is also a feature of our various algorithms, such as the classification of greening information, the discrimination of different growth stages of plants, and the classification of air pollution and water pollution, all of which have good performance.
With credible analysis tools, it is very beneficial to the establishment of various image information databases, the comparison of information across time periods, and the historical tracking of various geographical and human information in nature.
The specific algorithms are:
Linear analysis method, nonlinear analysis method, sample point comparison method, sample point mean comparison method, histogram interval analysis method
Through the practice of QMap, it is proved that its efficiency is very high, and it provides an effective means to solve the problems of homogeneous spectrum and homogeneous stratification in remote sensing. In addition, it is also suitable for information extraction of various other images, such as forest fire detection, geological prospecting, pest monitoring, meteorological analysis, medical treatment and other industries, and has a wide range of uses.
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