Segmentation of hedges on CASI hyperspectral images by data fusion from texture, spectral and shape analysis
Segmentation of hedges on CASI hyperspectral images by data fusion from texture, spectral and shape analysis
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DOI：
10.1109/igarss.2000.861716
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发表时间：
2000-07
期刊：
影响因子：
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通讯作者：
M. Lennon;M. Mouchot;G. Mercier;L. Hubert‐Moy
中科院分区：
文献类型：
--
作者：
M. Lennon;M. Mouchot;G. Mercier;L. Hubert‐Moy
该研究指出了CASI航空高光谱图像在小型景观单元（树篱）的精细分割和表征方面的潜力，这对水文学家和景观规划者至关重要。分割策略包括计算每个对冲区分特征：辐射、纹理和线性形状。考虑全光谱信息的原始方法被开发用于滤波图像和计算线性和纹理特征。利用模糊融合的概念对这些信息进行融合，得到最终的分割图像。对分割后的区域进行分类，就得到了bocage成分图。在DEM的帮助下，计算了8个参数，为bocage的每个像素提供了精细的表征。
The study figures out the potential of CASI airborne hyperspectral imagery for the fine segmentation and characterization of small size landscape units, the hedges, essential for hydrologists and landscape planners. The segmentation strategy consists in computing every hedge discriminating feature: radiometry, texture and linear shape. Original methods taking into consideration the full spectral information are developed for filtering images and computing linear and texture features. Concepts of fuzzy fusion are used to merge these information in order to get the final segmented image. Classification of the segmented region provides the bocage composition map. With the help of a DEM, 8 parameters are computed, providing a fine characterization for each pixel of the bocage.