What is feature space in remote sensing?

Feature space in remote sensing refers to the multidimensional space where each point represents a unique combination of pixel values captured by different spectral bands. It is commonly used for classification and analysis by machine learning algorithms to distinguish between different land cover or land use classes based on their spectral signatures. By analyzing the feature space, researchers can effectively differentiate and classify various features on the Earth's surface using remote sensing data.