Interactive multi-image colour visualization for hyperspectral imagery

Danfeng Liu, Liguo Wang, Jón Atli Benediktsson

Rannsóknarafurð: Framlag til fræðitímaritsGreinritrýni

3 Tilvitnanir (Scopus)


Data visualization can accelerate data processing so that enormous quantities of data can be utilized effectively. Visualization of data can achieve image communication between people and data as well as between people to help observers get information hidden in data, providing a tool for discovery and understanding of scientific law. To solve the problem of multi-image and multi-modality image display in the field of remote sensing, an interactive colour visualization method for hyperspectral imagery (HSI) is proposed in this article. This method visualizes complex information of original HSI data through different fusion results of multiple images in a colour space, which is under the interactive control of the observers. By gradually determining predetermined points, observers can obtain a relatively satisfying image blending mode, output an image with clearer interested target, and obtain the corresponding mixing coefficient of images. The proposed method can also solve the problem that traditional visualization methods only display information from three bands in one image, and conduct information mining in HSI with a certain purpose based on the demands of users. In addition, this approach is also applicable for visualization of other types of multi-modal imagery.

Upprunalegt tungumálEnska
Síður (frá-til)1062-1082
FræðitímaritInternational Journal of Remote Sensing
Númer tölublaðs4
ÚtgáfustaðaÚtgefið - 16 feb. 2017


Publisher Copyright:
© 2017 Informa UK Limited, trading as Taylor & Francis Group.


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