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High resolution remote sensing image segmentation method based on Gram-Schmidt fusion and locally excitatory globally inhibitory oscillator networks (LEGION)

A remote sensing image and high-resolution technology, applied in image enhancement, image data processing, instruments, etc., can solve problems such as poor segmentation effect and unsatisfactory segmentation effect, achieve good segmentation effect, satisfactory segmentation effect, and improve segmentation accuracy Effect

Inactive Publication Date: 2011-04-13
NANJING UNIV
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Problems solved by technology

[0007] The LEGION method can only use single-band image information for segmentation, and the segmentation effect is poor; performing LEGION segmentation on each band, combining and displaying the results cannot fundamentally solve the problem that multi-band information cannot be used comprehensively. The effect is not ideal

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  • High resolution remote sensing image segmentation method based on Gram-Schmidt fusion and locally excitatory globally inhibitory oscillator networks (LEGION)
  • High resolution remote sensing image segmentation method based on Gram-Schmidt fusion and locally excitatory globally inhibitory oscillator networks (LEGION)
  • High resolution remote sensing image segmentation method based on Gram-Schmidt fusion and locally excitatory globally inhibitory oscillator networks (LEGION)

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Embodiment 1

[0050] The QuickBird remote sensing image is used as the remote sensing image to be segmented, and the image includes a panchromatic band (attached figure 1 shown) and four multispectral bands, the panchromatic band has a size of 992 rows and 607 columns, and the four multispectral bands: blue band, green band, red band, and near-infrared band have a size of 248 rows and 152 columns. The images include airports, roads, beaches, sandbars, bushes, man-made buildings, ships and other ground features.

[0051] It mainly consists of five steps: multi-spectral band resampling; Gram-Schmidt fusion; multi-spectral band pixel averaging after fusion; LEGION segmentation; segmentation results are written into the result image and displayed in a visual way. Multi-spectral band resampling is implemented in ArcGI59.2, Gram-Schmidt fusion is implemented in ENVI4.5, and pixel averaging and LEGION segmentation are programmed in standard C++ language. The read and write operation of remote sen...

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Abstract

The invention discloses a high resolution remote sensing image segmentation method based on Gram-Schmidt fusion and locally excitatory globally inhibitory oscillator networks (LEGION). The method comprises the following steps: resampling the multispectral wave bands of a high resolution remote sensing image, and enabling the multispectral wave bands to have same size and pixel amount as a panchromatic wave band; performing Gram-Schmidt fusion on the panchromatic wave band and the multispectral wave bands to lead each of the multispectral wave bands to have higher space resolution and basically maintain the spectral information; calculating the average value of the all wave band pixel values of all pixels, and merging the information of the multiple wave bands into a wave band to serve as input data of an LEGION segmentation method; segmenting the merged single wave band image by the LEGION method; and inputting the segmentation result in a result image, and displaying the result image in a visualized mode. By means of the method in the invention, the defect that the LEGION segmentation method only can utilize single wave band information is solved, and the high resolution remote sensing image can be segmented more accurately and effectively.

Description

technical field [0001] The invention relates to a high-resolution remote sensing image segmentation method, in particular to a multi-band remote sensing image data fusion based on the Gram-Schmidt method. On this basis, LEGION (Locally Excitatory Globally Inhibitory Oscillator Networks, locally excited and globally inhibited oscillation is used) Network) method for high-resolution remote sensing image segmentation. Background technique [0002] Remote sensing technology has been widely used in land use survey, resource exploration, ecological environment monitoring and many other fields, and plays an important role in social and economic development. With the rapid development of aviation, spaceflight and sensor technology, the spatial resolution, time resolution and spectral resolution of remote sensing images are constantly improving. High spatial resolution remote sensing images have attracted much attention because they can fully reflect the detailed information of grou...

Claims

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Application Information

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IPC IPC(8): G06T5/00
Inventor 程亮李满春刘永学李飞雪汪业成刘成明蔡文婷
Owner NANJING UNIV
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