Application of Remote Sensing Technology in the Development of Urban Functions is presented. Remote sensing image processing for ecological protection and monitoring, this paper proposes a remote sensing image landmark segmentation algorithm based on the IGSA and PCNN. Because the GSA algorithm has the disadvantages of premature convergence and is easy to fall into the local optimal solution, the improved IGSA algorithm is used to extract the ratio of the image entropy and energy to IGSA, and the entropy change value is used as the IGSA algorithm. Based on the global search ability of IGSA, the optimal value of the key parameters affecting the segmentation effect in PCNN model is found. Finally, through experimental comparison, the proposed method has strong advantages in segmentation effect, real-time and robustness

介绍了遥感技术在城市功能发展中的应用。针对生态保护与监测的遥感图像处理，提出了一种基于IGSA和PCNN的遥感图像地标分割算法。由于GSA算法具有收敛早的缺点，容易陷入局部最优解，因此采用改进的IGSA算法提取图像熵和能量与IGSA的比值，并将熵变值作为IGSA。算法。基于IGSA的全局搜索能力，找到影响PCNN模型分割效果的关键参数的最优值。最后，通过实验比较，该方法在分割效果，实时性和鲁棒性方面具有很强的优势。