AUTOMATED SPECTRAL SELECTION FOR FEATURE IDENTIFICATION FROM REMOTE SENSED IMAGES

摘要

Disclosed are systems, methods, and apparatus related to automated spectral selection for feature identification from remote sensed images. The invention includes various modules, such as a spectral selection processing module and a user device module that are communicatively coupled to each other via a communication connection. The invention includes a non-transitory memory that causes a processor to carry out one or more tasks. Those tasks include, but are not limited to, storing imagery; generating a list of imagery, input related to the imagery', a map view, target pixel values, and geometry related to the imagery; transforming pixels to vectors; conducting analytics within the identified vector features; quantifying data within identified vector features; and displaying the results on the user device module.