Least square area network color-homogenizing method of aerial remote sensing image
A least squares, aerial remote sensing technology, applied in the field of aerial remote sensing images
Active Publication Date: 2011-07-20
WUHAN UNIV
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To deal with the color difference between adjacent images (also known as uniform color processing), a method based on the combination of Wallis filtering and tone reference images was proposed earlier [1], which processes images The effect is ideal for survey areas with relatively consistent content, but for larger survey areas, large-scale aerial photography images or low-altitude photography images, the content of images in the survey area often differs greatly (such as Figure 1), at this time, it is impossible to obtain ideal effect
Pan Jun[2] proposed to use the shortest path algorithm to determine the transmission path between images according to the adjacency relationship between images, and use the linear relationship to perform color uniformity processing on adjacent images. Complexity, the images on the transmission path may not strictly satisfy the linear relationship, so in the case of a large measurement area, it is easy to accumulate errors on the transmission path, which will affect the overall color uniformity processing effect of the image
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[0047] step 1,
[0048] For all the mosaic in the survey area p A single-image ortho-rectified image is constructed based on the Voronoi diagrams of their shooting station coordinates, and the adjacency relationship of the Voronoi diagram is used to determine whether there is an edge between two single-image ortho-corrected images in the process of orthoimage mosaic, and obtained q Butt edge image pairs.
[0049] The Voronoi diagram is a basic data structure in computational geometry. Its input is a series of points distributed on a two-dimensional plane, and its output is a series of polygonal areas corresponding to each point. The output polygonal area should satisfy the polygonal area. The geometric distance between a point at any position of , and the input point corresponding to the polygonal area is the shortest, specifically as figure 2 shown. In the process of orthophoto mosaicking, it is often necessary to select images close to the center of the photographic lens...
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The invention discloses a least square area network color-homogenizing method of an aerial remote sensing image. In the method provided by the invention, the idea of block aerial triangulation of a bundle method is utilized for reference. The method comprises the following steps: firstly counting the pixel hue information of the stacking area of adjacent images of single-phase orthographic correction images; then constructing an equation set of compensation parameters of the pixel hue information of each image; resolving the compensation parameters of the pixel hue information of each image by utilizing a least square adjustment method; and finally adjusting the hue information of each image based on the obtained hue compensation parameters. By utilizing the method, hue difference elimination process can be carried out on the images with relatively large difference in the image content of the large testing zone and the testing zone, and further an arbitrary position in the testing zone and an arbitrary number of images can be conveniently designated as the hue control image to control the basic hue of the entire testing zone in the process of eliminating color difference.
Description
technical field [0001] The invention belongs to the field of remote sensing image processing, in particular to a method for uniform coloring of aerial remote sensing images. Background technique [0002] In surveying and mapping production, one of the main steps in the production of digital orthophotos (DOM) is image mosaic. Image mosaic is to mosaic the adjacent images that have completed single-image orthorectification into standard orthophoto results, or to complete single Adjacent images such as orthorectification are mosaiced into an orthophoto of the entire survey area and then output as a standard map frame. In the process of image mosaicing, not only the problem of geometric borders between adjacent images must be dealt with, but also the overall color tone and color transition of the mosaiced images must be consistent. The color processing effect of the image is directly related to the quality of the final orthophoto image. Researching and solving the automatic pro...
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IPC IPC(8): G06T5/00
Inventor 孙明伟张祖勋张剑清
Owner WUHAN UNIV