- 期刊
One Extraction Method for Land Use Information with Feature Selection Based on High-Resolution Image
摘要
In order to solve the problem of uncertain or incorrect classification due to local feature confusion in land‐use classification based on high‐resolution remote sensing images, a land‐use‐information‐extraction method based on feature selection was proposed. Firstly, multi‐scale segmentation was carried out with existed land‐use data, and the optimal segmentation scales about different land features were obtained. Then, based on the prior knowledge from attribute information of land‐use data, the feature selection was carried out. Finally, the image classification results were obtained by fuzzy classification calculation. In order to evaluate the classification accuracy, the method based on feature selection was compared with random forest and decision tree algorithm. The results showed that classification accuracy of the method adopted in this paper were higher.
參考文獻
延伸閱讀
- 陳振南、洪榮宏（1998）。A Knowledge Perspective about Data Selection in GIS-Using Image Classification Aid as an Example。航測及遙測學刊，3(1)，1-12。https://doi.org/10.6574/JPRS.1998.3(1).1
- Jennifer, J. J. (2016). Performance of Combination of Texture and Object Based Techniques in Image Classification for Urban Land Cover. IRA-International Journal of Technology & Engineering, 3(3), 104-109. https://doi.org/10.21013/jte.v3.n3.p1
- Wang, S. M. (2005). An Object-Based Method to Integrate Remote Sensing and Geographical Information for Advanced Feature Extraction. 臺灣地理資訊學刊, (2), 11-26. https://doi.org/10.29790/JTGIS.200504.0002
- 彭信瑋、萬絢、鄭育欣（2023）。The Study of Multi-category Image Analysis by Using Convolutional Neural Network for Land Use of Watershed。中華水土保持學報，54(2)，164-173。https://doi.org/10.29417/JCSWC.202306_54(2).0007
- 蕭國鑫、劉治中、劉進金、何心瑜、黃英婷（2008）。Land Cover and Land Use Classification Using High Spatial Resolution Images。航測及遙測學刊，13(4)，261-271。https://doi.org/10.6574/JPRS.2008.13(4).4