Paper
19 January 2024 Fusion of Worldview-3 satellite image and its impact on the classification of mangrove forests
Xinglin Mu, Yun He, Zhengyu Luo, Tao Zhang
Author Affiliations +
Proceedings Volume 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023); 129801J (2024) https://doi.org/10.1117/12.3020904
Event: Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 2023, Lianyungang, China
Abstract
Mangrove grow low-energy in tropical and subtropical coast intertidal zone. Through periodic flood tide, mangrove plants as the main body of evergreen shrubs or trees of tidal flat wetland woody biological communities, including herbaceous species. Mangrove grow on land and sea borders tidal flats, and it is a special kind of terrestrial and Marine ecosystems. With the rapid development of sensor technology, get all sorts of rate of high resolution remote sensing image has become possible. With high spatial resolution of the colored light panchromatic images (PAN) to improve the spatial resolution multi spectrum image (MS) of the image fusion technology is one of research hotspots in the field of high resolution earth observation, in many remote sensing application plays an extremely important role. In this paper, the application of worldview3 multispectral and panchromatic image fusion with four methods to. And then I get image fusion results through fusion index for further analysis. Based on the analysis of the specific fusion algorithm fusion effect of each index in the mangrove differences influence. The classification results of each kind of fusion image analysis discussion, find out the most suitable for specific fusion method to each type of mangroves. we combine with experimental data for each kind of method for comprehensive analysis and conclusion.
(2024) Published by SPIE. Downloading of the abstract is permitted for personal use only.
Xinglin Mu, Yun He, Zhengyu Luo, and Tao Zhang "Fusion of Worldview-3 satellite image and its impact on the classification of mangrove forests", Proc. SPIE 12980, Fifth International Conference on Geoscience and Remote Sensing Mapping (ICGRSM 2023), 129801J (19 January 2024); https://doi.org/10.1117/12.3020904
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