MULTI-RESOLUTION MULTI-SPECTRAL DEEP LEARNING BASED CHANGE DETECTION FOR SATELLITE IMAGES

摘要

The systems, methods, and computer program products disclosed herein pertain to image analysis techniques that may exploit computer vision, supervised and unsupervised machine learning, and deep neural network models in order to detect change and determine spatio-temporal attention regions of relevant change in multi-spectral and multi-resolution satellite images. In some embodiments, the automatic detection of changes in regions over large scales of satellite imagery data may be further used to generate alerts in the context of a monitoring and alerting system. In some embodiments, the input to the system may be provided through an analytics web interface or an application programming interface (API), and the output may also be served through the web interface or API.