Dynamic Clustering Algorithm of Remote VHR Images for Object Cost Estimation

High-resolution remote sensing images are mainly derived from the space-based high-resolution remote sensing and low-altitude airborne remote sensing. Clustering the high-resolution remote sensing images is an important step in remote sensing image processing. The quality of the clustering results will have a direct impact on the subsequent image analysis and the accuracy of the analysis processing. In this regard, this research work studies the dynamic clustering algorithm of remote VHR images for object cost estimation. It is a 2-step approach which contains: 1. novel VHR image dynamic clustering algorithm is proposed to serve as the first step for the efficient segmentation. 2. novel image classification algorithm is designed to make the estimation performance efficient.