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首页> 外文会议>2019 1st International Conference on Innovations in Information and Communication Technology >Geodata from Earth HSI bands as a result of direct implementation of Complex wavelet filter Bank for reduction
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Geodata from Earth HSI bands as a result of direct implementation of Complex wavelet filter Bank for reduction

机译：直接实施复杂小波滤波器组以减少地球HSI频段的地理数据

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This paper unfolds the distinct feature of complex wavelets to dimension reduction of hyperspectral images. The algorithm of complex wavelet filter bank is implemented on Hyperspectral image bands to reduce the redundant information in terms of bands. In the recent literature on similar concept, the idea is implemented on spectral signatures of each band or in a single layer. The paper encompasses the complex wavelet filter bank advantages related to shift invariance and directionality properties on the hyperspectral image as a whole. The hyperspectral images carry volume of data and the image analysis needs the dimension reduction for the proper computation and detection. The unwanted bands can be ignored through the proposed algorithm. The reduction algorithm realizes the correlation between the bands of 64 band tiff image taken from ISRO database, India. The bands reduced to five in the proposed method efficient than existing real wavelet method.
机译：本文揭示了复杂小波的独特特征，以减少高光谱图像的尺寸。在高光谱图像波段上实现复数小波滤波器组算法，以减少波段上的冗余信息。在关于相似概念的最新文献中，该思想是在每个频带的光谱特征上或在单个层中实现的。本文涵盖了复杂的小波滤波器组的优点，这些优点与整个高光谱图像上的位移不变性和方向性有关。高光谱图像携带大量数据，图像分析需要缩减尺寸以进行正确的计算和检测。不需要的频带可以通过提出的算法忽略。归约算法实现了从印度ISRO数据库获取的64波段tiff图像的波段之间的相关性。所提出的方法中的频带减少到五个，比现有的真实小波方法有效。

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