An Object-Level Change Detection Method based on Lightweight Object Detector and Metric Matrix

Remote sensing image change detection has important applications in many fields. However, current studies mostly focus on identifying pixel-level changes. Although these methods can achieve better performance, this paradigm fails to determine changes in specific object instances due to the definition of the task itself. For this reason, we conduct preliminary exploration and propose a method named OBJ-CD, which can detect the changes of object instance. Specifically, OBJ-CD initially employs a lightweight Siamese object detector to detect objects within two temporal images. Subsequently, OBJ-CD calculates the metric matrix for the detected objects in these images. Finally, the conditions of the object instance change are limited by a certain threshold, and the final object-level change detection results can be obtained. We conducted several experiments on our constructed dataset, and the experimental results indicate that the proposed method can achieve object-level change detection with good performance.