Research on Multifeature Segmentation Method of Remote Sensing Images Based on Graph Theory

Liu, Y. (2018). An Efficient Image Segmentation Approach Based on Graph Theory. 淡江理工學刊, 21(1), 117-124. https://doi.org/10.6180/jase.201803_21(1).0014
Lin, T. K. (2014). A Novel Region-Growing Adaptation-Based Algorithm for the Smart Detection of Remote Sensing Images. 技術學刊, 29(4), 281-287. https://www.airitilibrary.com/Article/Detail?DocID=10123407-201412-201412220011-201412220011-281-287
洪若倫（2011）。Flooding-Based Approach for Image Segmentation to Improve the Performance of Graph-Cut〔碩士論文，大同大學〕。華藝線上圖書館。https://www.airitilibrary.com/Article/Detail?DocID=U0081-3001201315111286
Wendelberger, L. J., Gray, J. M., Wilson, A. G., Houborg, R., & Reich, B. J. (2022). Multiresolution Broad Area Search: Monitoring Spatial Characteristics of Gapless Remote Sensing Data. Journal of Data Science, 20(4), 545-565. https://doi.org/10.6339/22-JDS1072
Lan, C., Chen, Z., & Zeng, C. (2022). Intelligent Detection Method of Remote Sensing Image Target based on Visual Attention. International Core Journal of Engineering, 8(12), 135-141. https://doi.org/10.6919/ICJE.202212_8(12).0017