Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 139-144, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
26 Jun 2015
Development of a fusion approach selection tool
C. Pohl1 and Y. Zeng2 1Geoscience & Digital Earth Centre (GeoDEC), Universiti Teknologi Malaysia, 81310 Johor Bahru, Malaysia
2Chinese Academy of Surveying and Mapping, 28 Lianhuachixi Road, Haidian District, Beijing 100830, P.R. China
Keywords: Image fusion, remote sensing, research, database, tool Abstract. During the last decades number and quality of available remote sensing satellite sensors for Earth observation has grown significantly. The amount of available multi-sensor images along with their increased spatial and spectral resolution provides new challenges to Earth scientists. With a Fusion Approach Selection Tool (FAST) the remote sensing community would obtain access to an optimized and improved image processing technology. Remote sensing image fusion is a mean to produce images containing information that is not inherent in the single image alone. In the meantime the user has access to sophisticated commercialized image fusion techniques plus the option to tune the parameters of each individual technique to match the anticipated application. This leaves the operator with an uncountable number of options to combine remote sensing images, not talking about the selection of the appropriate images, resolution and bands. Image fusion can be a machine and time-consuming endeavour. In addition it requires knowledge about remote sensing, image fusion, digital image processing and the application. FAST shall provide the user with a quick overview of processing flows to choose from to reach the target. FAST will ask for available images, application parameters and desired information to process this input to come out with a workflow to quickly obtain the best results. It will optimize data and image fusion techniques. It provides an overview on the possible results from which the user can choose the best. FAST will enable even inexperienced users to use advanced processing methods to maximize the benefit of multi-sensor image exploitation.
Conference paper (PDF, 5698 KB)

Citation: Pohl, C. and Zeng, Y.: Development of a fusion approach selection tool, Int. Arch. Photogramm. Remote Sens. Spatial Inf. Sci., XL-7/W4, 139-144,, 2015.

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