Taking into account the demands of hyperspectral remote sensing(RS) image retrieval and processing, some encoding methods of spectral vector including direct encoding, feature-based encoding and tree-based encoding me...Taking into account the demands of hyperspectral remote sensing(RS) image retrieval and processing, some encoding methods of spectral vector including direct encoding, feature-based encoding and tree-based encoding methods are proposed and compared. In direct encoding, based on the analysis of binary encoding and quad-value encoding, decimal encoding is proposed. It is proved that quad-value encoding and decimal encoding are suitable to fast processing and retrieval. In absorption feature-based encoding method, five common metrics are compared. Because locations of reflection/absorption features are sensitive to noise, this method is not very effective in retrieval. In tree-based encoding methods, bitree, quadtree, octree and hextree are proposed and discussed. It is proved that 2-level octree and 2-level hextree are more effective than bitree and quadtree. Finally, quad-value encoding, decimal encoding, 2-level octree and 2-level hextree are proposed in spectral vectors encoding, similarity measure and hyperspectral RS image retrieval.展开更多
提出了一种新的高光谱图像波段选择方法——波段最大筛选法(Maximum Band Screening,MBS),它将每个波段的像元光谱分量看成一条波段向量,利用光谱相似性度量比较波段与已选波段的不相似性,从而从原始波段中选择信息量既大、又有区别性...提出了一种新的高光谱图像波段选择方法——波段最大筛选法(Maximum Band Screening,MBS),它将每个波段的像元光谱分量看成一条波段向量,利用光谱相似性度量比较波段与已选波段的不相似性,从而从原始波段中选择信息量既大、又有区别性的波段。为了验证MBS的有效性,将其用于高光谱图像异常探测,设计了异常探测算法。该算法首先从高光谱图像中提取异常目标光谱,噪声白化后,进行MBS波段选择,最后将选出的波段用于自适应余弦估计(Adaptive Coherence Estimator,ACE)目标探测。采用AVIRIS高光谱图像将MBS与另外两种波段选择算法进行比较分析,实验结果表明,在MBS选出的仅占全部波段8%的波段上,ACE算子具有较高的探测性能。展开更多
文摘Taking into account the demands of hyperspectral remote sensing(RS) image retrieval and processing, some encoding methods of spectral vector including direct encoding, feature-based encoding and tree-based encoding methods are proposed and compared. In direct encoding, based on the analysis of binary encoding and quad-value encoding, decimal encoding is proposed. It is proved that quad-value encoding and decimal encoding are suitable to fast processing and retrieval. In absorption feature-based encoding method, five common metrics are compared. Because locations of reflection/absorption features are sensitive to noise, this method is not very effective in retrieval. In tree-based encoding methods, bitree, quadtree, octree and hextree are proposed and discussed. It is proved that 2-level octree and 2-level hextree are more effective than bitree and quadtree. Finally, quad-value encoding, decimal encoding, 2-level octree and 2-level hextree are proposed in spectral vectors encoding, similarity measure and hyperspectral RS image retrieval.
文摘提出了一种新的高光谱图像波段选择方法——波段最大筛选法(Maximum Band Screening,MBS),它将每个波段的像元光谱分量看成一条波段向量,利用光谱相似性度量比较波段与已选波段的不相似性,从而从原始波段中选择信息量既大、又有区别性的波段。为了验证MBS的有效性,将其用于高光谱图像异常探测,设计了异常探测算法。该算法首先从高光谱图像中提取异常目标光谱,噪声白化后,进行MBS波段选择,最后将选出的波段用于自适应余弦估计(Adaptive Coherence Estimator,ACE)目标探测。采用AVIRIS高光谱图像将MBS与另外两种波段选择算法进行比较分析,实验结果表明,在MBS选出的仅占全部波段8%的波段上,ACE算子具有较高的探测性能。
