Abstract
The extraction of water in remote sensing image is a key step in the application of remote sensing image. Aiming at the existing problems in remote sensing image water extraction, a water extraction method based on Ada Boost algorithm is proposed. In this method, multiple thresholds are set for image segmentation, and the results are voted, and finally the water extraction results are obtained. Using the threshold value of 7 algorithms to synthesize, using the Ada Boost algorithm, the advantages and disadvantages of each algorithm are analyzed and compared. The experimental results show that the water body extracted by a single method and a combination of 7 methods is not ideal, but the water body extracted by a combination of two, three, four and five methods is relatively good, among which the best effect is the water body extracted by a combination of three methods.
Publisher
Darcy & Roy Press Co. Ltd.
Reference11 articles.
1. Rishikeshan, C. A., and H. Ramesh. "An automated mathematical morphology driven algorithm for water body extraction from remotely sensed images." ISPRS Journal of Photogrammetry and Remote Sensing (2018).
2. Jiang, Wei, et al. "An Effective Water Body Extraction Method with New Water Index for Sentinel-2 Imagery." Water (2021).
3. Yue, H., et al. "A new accuracy evaluation method for water body extraction." International Journal of Remote Sensing (2020).
4. Zhuang, Yin, et al. "Harbor Water Area Extraction From Pan-Sharpened Remotely Sensed Images Based on the Definition Circle Model." IEEE Geoscience and Remote Sensing Letters (2017).
5. Xu X. Research on automatic water extraction scheme of remote sensing image based on image features [J]. Anhui building, 2019, 26 (9): 50-51. DOI: 10.16330 / j. carol carroll nki. 1007-7359.2019.09.020.