Influence of using texture information in remote sensed data on the accuracy of forest type classification at different levels of spatial resolution
Influence of using texture information in remote sensed data on the accuracy of forest type classification at different levels of spatial resolution
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DOI：
10.1007/s10310-010-0233-6
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发表时间：
2011-01
影响因子：
1.5
通讯作者：
T. Ota;N. Mizoue;S. Yoshida
中科院分区：
文献类型：
--
作者：
T. Ota;N. Mizoue;S. Yoshida
我们评估了遥感数据纹理信息对不同空间分辨率下森林类型分类准确性的影响。我们使用 4 米空间分辨率图像创建了五组不同的图像，空间分辨率低至 30 m。我们在每个空间分辨率下仅使用光谱信息、仅使用纹理信息以及组合光谱和纹理信息对森林类型进行分类，并比较每个分辨率下的分类精度。采用分类回归树法进行分类。随着空间分辨率的降低，所有三个测试的准确性均略有下降。组合数据的准确性通常高于单独的光谱或纹理信息。在大多数分辨率下，仅使用纹理信息的精度是最低的。然而，在 25 米和 30 米空间分辨率下，组合数据和单独的光谱数据之间的精度没有明显差异。这些结果表明，将纹理信息添加到空间信息中可以提高森林类型分类的准确性，从非常高分辨率（4 米空间分辨率）到中等分辨率图像（20 米空间分辨率），但这种准确性的提高似乎不适用于相对较粗糙的分辨率图像（25 至 30 米空间分辨率）。
We evaluated the influence of texture information from remote sensed data on the accuracy of forest type classification at different spatial resolutions. We used 4-m spatial resolution imagery to create five different sets of imagery with lower spatial resolutions down to 30 m. We classified forest type using spectral information alone, texture information alone, and spectral and texture information combined at each spatial resolution, and compared the classification accuracy at each resolution. The classification and regression tree method was used for classification. The accuracy of all three tests decreased slightly with lower spatial resolution. The accuracy with the combined data was generally higher than with either the spectral or texture information alone. At most resolutions, the lowest accuracy was with texture information alone. However, there was no clear difference in accuracy between the combined data and spectral data alone at 25- and 30-m spatial resolution. These results indicate that adding texture information to spatial information improves the accuracy of forest type classification from very high resolution (4-m spatial resolution) to medium resolution imagery (20-m spatial resolution), but this accuracy improvement does not appear to hold for relatively coarse resolution imagery (25- to 30-m spatial resolution).