Remote Sensing Technology and Application, Volume. 39, Issue 1, 67(2024)
Comparative Study on Chlorophyll-content Inversion Models of Bamboo forest based on Space-sky Remote Sensing Data
Figures & Tables(9)
Fig. 3. Importance of characteristic variables based on RF Algorithm
Fig. 4. Comparison of accuracy of chlorophyll content inversion based on multi-source data
Table 1. Fusion image quality evaluation index
View tableView in ArticleTable 1. Fusion image quality evaluation index
评价指标 意义 均值 均值是用来表述平均亮度的有效方式，在影像中表述为像素的灰度平均值 标准差 标准差是灰度相对于灰度均值的离散情况，可反映影像的信息量 信息熵 影像的信息丰富度，代表影像质量的高低。越大影像信息越丰富 平均梯度 平均梯度越大影像越清晰 联合熵 反映图像之间的联合信息，融合图像与原始图像的联合熵越大越好 空间频率 空间频率越高影像能反映的空间细节越多
Table 2. Vegetation index
View tableView in ArticleTable 2. Vegetation index
植被指数名称 计算公式 差值植被指数(DVI) NIR-R 归一化植被指数(NDVI) (NIR-R)/(NIR+R) 绿色归一化植被指数(GNDVI) (NIR-G)/(NIR+G) 归一化水体指数(NDWI) (G-NIR)/(G+NIR) 优化土壤调节植被指数(OSAVI) (NIR-R)/(NIR+R+0.16) 比值植被指数(RVI) NIR/R 土壤调节植被指数(SAVI) (NIR-R)(1+L)/(NIR+R+L) L=0.5 增强型植被指数(EVI) 2.5*(NIR-R)/(NIR+6R-7.5B+1)
Table 3. Evaluation index of fusion effect
View tableView in ArticleTable 3. Evaluation index of fusion effect
评价指标 原始影像 HSV变换 GS变换 PCA变换 均值 115.40 29.26 73.41 72.22 标准差 103.40 43.08 80.67 79.54 信息熵 4.96 5.38 5.58 5.58 平均梯度 0.86 24.74 29.70 21.87 联合熵 — 9.11 9.77 9.74 空间频率 15.37 32.72 74.88 55.80
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Linghan SONG, Xiaojie LIU, Canghao ZHANG, Shuangwen ZHONG, Jian LIU, Kunyong YU, Fan WANG. Comparative Study on Chlorophyll-content Inversion Models of Bamboo forest based on Space-sky Remote Sensing Data[J]. Remote Sensing Technology and Application, 2024, 39(1): 67
Paper Information
Category: Research Articles
Received: Jul. 29, 2022
Accepted: --
Published Online: Jul. 22, 2024
The Author Email: SONG Linghan (2124362476@qq.com)
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