A manuscript entitled “Improving Pixel-Based Change Detection Accuracy Using an Object-Based Approach in Multitemporal SAR Flood Images” was accepted by IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
This study proposes a new unsupervised algorithm-level fusion scheme to improve the accuracy of pixel-based change detection (PBCD) using spatial context information through: 1) getting the preliminary change mask with PBCD at first to estimate some parameters for object-based change detection (OBCD); 2) deriving the unchanged area mask to eliminate the areas without changes, reducing error amplification phenomenon of OBCD; and 3) obtaining the final change mask by means of OBCD method.
Proposed Workflow