Acta Optica Sinica, Volume. 45, Issue 12, 1201002(2025)
Remote Sensing Detection Method of Seagrass in Swan Lake Based on HY-1C/D CZI Images
Fig. 1. Normalized mean spectral curves for different types of substrates and schematic of BRN index for other water
Fig. 2. Frequency distributions of normalized apparent reflectance in different bands for pixels of different types of substrates. (a) Blue band; (b) green band; (c) red band; (d) NIR band
Fig. 3. Frequency distributions of BRN index and NDVI for seagrass water and other water. (a) BRN index; (b) NDVI
Fig. 4. Normalized mean spectral curves for seagrass water and other water in overlapping intervals, and schematic of Δz index for other water
Fig. 7. Accuracy evaluation of seagrass satellite remote sensing detection model. (a)(d) False-color images of Swan Lake; (b)(e) seagrass distribution results extracted by seagrass satellite remote sensing detection model; (c)(f) distributions of BRN index for seagrass water extracted by seagrass satellite remote sensing detection model
Fig. 11. Mean spectral curves for pixels of different types of substrates before normalization
Fig. 12. Frequency distributions of BRN index and Δz index for seagrass water, other water and turbidity water. (a) BRN index; (b) Δz index
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Lulu Wang, Hanwei Liang, Shengqiang Wang, Deyong Sun, Hailong Zhang. Remote Sensing Detection Method of Seagrass in Swan Lake Based on HY-1C/D CZI Images[J]. Acta Optica Sinica, 2025, 45(12): 1201002
Category: Atmospheric Optics and Oceanic Optics
Received: Oct. 8, 2024
Accepted: Nov. 24, 2024
Published Online: Jun. 23, 2025
The Author Email: Shengqiang Wang (shengqiang.wang@nuist.edu.cn)
CSTR:32393.14.AOS241616