Change Detection between Multimodal Remote Sensing Data Using Siamese CNN

Understand

Detecting topographic changes in the urban environment has always been an important task for urban planning and monitoring.

• In practice, remote sensing data are often available in different modalities and at different time epochs.
• Change detection between multimodal data can be very challenging since the data show different characteristics.
• Given 3D laser scanning point clouds and 2D imagery from different epochs, this paper presents a framework to detect building and tree changes.