An improved spectral knowledge for multi-temporal images classification-a case study of urban area

机译：多时相图像分类的改进光谱知识-以城市地区为例

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The authors demonstrate that the normalized reflectance is much more suitable than bidirectional reflectance factor (BRF) as the scene-independent spectral knowledge as Wharton (1987) suggested. Normalized reflectance can be obtained from normalization of BRF by its intrinsic BRDF. Transformed divergences of apparent reflectance, BRF and normalized reflectance of the urban target in the multi-temporal dataset are compared.

机译：作者证明，如Wharton（1987）所建议的那样，归一化反射率比双向反射率因子（BRF）更适合于场景无关的光谱知识。可以通过BRF的固有BRDF归一化来获得归一化反射率。比较了多时间数据集中城市目标的表观反射率，BRF和归一化反射率的变换散度。

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《Geoscience and Remote Sensing Symposium, 1995. IGARSS '95. 'Quantitative Remote Sensing for Science and Applications', International》|1995年|P.1279-1281|共3页
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Liu; C.H.; Chen; A.J.;
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中图分类无线电电子学、电信技术;
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