5 Mathematical Models for Remote Sensing Image Processing
Abstract
Remote sensing image processing is a rapidly developing subject where mathematical models play an important role. These models assist in understanding the underlying physical approaches that govern the acquisition and interpretation of remote sensing records. In addition, they offer a framework for processing and learning large volume of facts in a consistent and refined manner.
There are several various mathematical models used in remote sensing image processing, such as statistical models, physical models, and machine learning knowledge of models. Statistical models use statistical techniques to analyze the distribution ...
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