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    Please use this identifier to cite or link to this item: http://ir.lib.ncu.edu.tw/handle/987654321/50639


    Title: Optimum estimator for SPOT-pan and ALS-lidar intensity image registration via tie points
    Authors: Wu,J;Chang,C;Hsu,CY
    Contributors: 太空及遙測研究中心
    Keywords: SAR;VARIANCE;FEATURES;RADAR
    Date: 2011
    Issue Date: 2012-03-27 17:49:42 (UTC+8)
    Publisher: 國立中央大學
    Abstract: The characteristics of a Systeme Pour d'Observation de la Terre (SPOT) panchromatic image of a geographic area such as an airfield are different from those of an airborne laser scanner lidar intensity image of the same area. This study investigates the feasibility of locating tie points shared by the target (airborne lidar-intensity) and search (spaceborne SPOT-pan) images. At an approximate point position, image segmentation and enhancement are employed so that a pair of target and search window images tend to resemble each other. The similarity is then measured by utilizing a least-squares image matching algorithm which involves variance-component estimation. The proposed method has a 3-15% higher success rate than an equal-weight matching method. Coordinate differences of the conjugate image points serve as reference value to be used in the least-squares collocation method for pixel-by-pixel transformation. The image registration accuracy from a SPOT-pan to a lidar intensity image is estimated to be +/- 1.0 pixel.
    Relation: JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
    Appears in Collections:[太空及遙測研究中心] 期刊論文

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