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Near-rectangle guide based remote-sensing cornfield image segmentation method

A remote sensing image and cornfield technology, applied in the field of agricultural remote sensing image segmentation, can solve the problem of unsatisfactory segmentation results and achieve good segmentation results and good continuity

Inactive Publication Date: 2015-09-30
ZHONGBEI UNIV
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  • Application Information

AI Technical Summary

Problems solved by technology

[0005] In order to solve the problem of unsatisfactory segmentation results when the traditional segmentation method is applied to cornfield remote sensing image segmentation, the present invention provides a cornfield remote sensing image segmentation method guided by a rectangle

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  • Near-rectangle guide based remote-sensing cornfield image segmentation method
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  • Near-rectangle guide based remote-sensing cornfield image segmentation method

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Embodiment Construction

[0029] The present invention will be described in detail below with reference to the accompanying drawings. Taking a corn planting area in Lantian County, Shaanxi Province in the GF-1 satellite digital remote sensing image as an example, the present invention is used for segmentation and corn reference standard area statistics. A method for segmentation of corn field remote sensing image guided by a rectangle, including the following steps:

[0030] S1: Use Gram-schmidt transform to fuse the original GF-1's 2-meter panchromatic data and 8-meter multi-spectral data to obtain a fused image, improve the spatial resolution of the multi-spectral band, and enhance the clarity and interpretation of the image. image 3 Fusion image for GS;

[0031] S2: Set a 5×5 square detection template with each pixel in the fusion image as the center, until all the pixels in the fusion image are traversed, and then calculate the grayscale difference between each pixel in each template and the central pix...

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Abstract

The invention relates to an agricultural remote-sensing image segmentation technology, in particular to a near-rectangle guide based remote-sensing cornfield image segmentation method. The method includes: subjecting a fused satellite remote-sensing image to edge extraction by an SUSAN (small univalue segment assimilating nucleus) operator, then constructing a near-rectangle guide based correlation function according to a relation between a closed region and a circumscribed near-rectangle, and importing a near-rectangle threshold function into an image-based segmentation algorithm to segment a field in a specific shape. According to the method, a satisfactory segmentation result can be obtained to better conform to an actual cornfield area statistic result, and over-segmentation patches of boundary regions due to a same object with different spectra are decreased. The near-rectangle guide based remote-sensing cornfield image segmentation method is mainly used for remote-sensing measurement of large-area corn planting area.

Description

Technical field [0001] The invention relates to an agricultural remote sensing image segmentation technology, in particular to a cornfield remote sensing image segmentation method guided by a rectangle. Background technique [0002] With the development of remote sensing technology and the improvement of satellite spatial resolution, remote sensing technology has become an important scientific and technological means in crop production management, and the extraction of crop information is the key to remote sensing technology in crop application research. Image segmentation is the basis of crop remote sensing information extraction. It can effectively use the spectral features, structural information and geometric information of the image to obtain ideal segmentation results, which is the prerequisite for crop identification and classification. [0003] The remote sensing measurement of corn planting area is an important aspect of the application of crop remote sensing information. ...

Claims

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Application Information

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IPC IPC(8): G06T7/00
CPCG06T2207/10032G06T2207/30188G06T7/12
Inventor 杨风暴李大威梁若飞冯裴裴张树斌许多秦健云翟煜琪闫鑫龙
Owner ZHONGBEI UNIV
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