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Sub-pixel drawing method based on vector boundaries

A sub-pixel and boundary technology, applied in the direction of instruments, character and pattern recognition, computer components, etc., can solve problems that affect output accuracy, inconsistent boundaries, multiple rounding errors, etc., to reduce errors, reduce gaps and overlaps, Calculation of simple effects

Active Publication Date: 2014-02-05
INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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Problems solved by technology

But there is still room for improvement: (1) When the scaling factor is an odd number, more rounding errors will be introduced when determining the position of polygon vertices in the mixed cell
(2) For mixed pixels with multiple land cover types, the boundaries of different land cover types may be inconsistent. Although fine-tuning is allowed, it may still affect the output accuracy

Method used

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  • Sub-pixel drawing method based on vector boundaries
  • Sub-pixel drawing method based on vector boundaries
  • Sub-pixel drawing method based on vector boundaries

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Embodiment Construction

[0016] Such as figure 1 As shown, the specific implementation steps of the present invention are as follows:

[0017] Step 1. Preprocess the remote sensing data, and obtain the soft classification information of each pixel on the image through soft classification, that is, the area ratio of each component in the pixel, also known as abundance.

[0018] Suppose there are two types of land cover C in a 3×3 pixel area 1 And C 2 . Obtain the central pixel P through soft classification m And its neighborhood pixel P i The proportion of the area occupied by the two types of land cover is P m {0.7,0.3},P 0 {0.35,0.65},P 1 {0.95,0.05}P 2 {1,0}P 3 {1,0}P 4 {1,0}P 5 {1,0}P 6 {0.65,0.35} and P 7 {0,1}, such as image 3 As shown in (a).

[0019] Step 2. Use the linear attenuation function to fill in the soft classification information of the neighboring pixels whose boundary pixels are outside the range of the fractional image.

[0020] In order to deal with the mixed pixels in the boundary area ...

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Abstract

The invention discloses a sub-pixel drawing method based on vector boundaries. The method comprises the steps that the accurate vector boundaries of ground objects in a mixed pixel are extracted by utilizing component (end members) area vectors or abundance of the mixed pixel or an adjacent pixel, then the accurate vector boundaries are converted into grids (sub-pixels) of the specific enlarging scales, and then the sub-pixel drawing of a video is completed. The sub-pixel drawing method based on the vector boundaries has the advantages of being wide in practicability, high in calculation speed, high in simulation precision, and suitable for remote sensing data to carry out the geoscience information extraction and geoscience data mining work such as target extraction, territorial resources surveys, global climate changes, disaster monitoring and disaster situation assessment.

Description

Technical field [0001] The invention relates to a sub-pixel mapping method, which belongs to the technical field of geospatial information. technical background [0002] Using digital remote sensing images to make thematic maps (image classification) is a hot area in the research of remote sensing technology. However, in the process of remote sensing image acquisition, due to the complexity of the surface, the influence of the external environment, and the limitations of the sensor itself, mixed pixels are common in the image. The spectral characteristics of the mixed pixels are the comprehensive characteristics of the corresponding spectral responses of different land cover types. In the remote sensing classification process, the traditional hard classification methods produce errors and uncertainties. Therefore, the Soft Classification method was proposed, which describes the area proportions of various object categories in a pixel in the form of percentages (soft information,...

Claims

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Application Information

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IPC IPC(8): G06K9/62
Inventor 葛咏陈跃红江昱李三平
Owner INST OF GEOGRAPHICAL SCI & NATURAL RESOURCE RES CAS
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