Extreme Learning Machine Enhanced Remote Sensing Image Classification System

The farmers and crop managers valuable information on the variables affecting crop condition and growth, hyperspectral and multispectral information processing systems and technologies have shown to be beneficial for enhancing agricultural production and practices. Using the Extreme Learning Machine (ELM) method for picture classification and the 2D- DWT technique for image data preprocessing to analyze and classify hyper- spectral images. Pixel information is extracted, 2D-DWT is applied to improve feature representation, and ELM is used for classification. ELM is particularly effective for classification problems because of its quick training time and capacity to operate with hidden nodes whose parameters are randomly assigned rather than modified iteratively.