Detecting temporal changes in satellite imagery using ANN

摘要: One of the most interesting aspects world is that it can be considered made up patterns. In pattern recognition problem have a dynamic nature and non-adaptive algorithms (instruction sets) will fail to give realistic solution model them. these cases, adaptive are used among them, neural networks greatest hit. For example, defense applications very frequently need record, detect, identify classify images objects or signals coming from various directions sources - static dynamic. There many in remote sensing where study data needed such as deforestation, effects natural man disasters, migration paths rivers due Earth's plates. Artificial Neural Networks (ANN) play role modeling because their capability nonlinear processes unknown patterns based on learning model, forecast certain outcomes by extrapolation. this we present results classifying using SOFM classification detect temporal changes