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Hyperspectral Remote Sensing Image Reflectance Restoration Method Based on Superpixel Segmentation

A hyperspectral remote sensing and superpixel segmentation technology, applied in image analysis, image enhancement, image data processing, etc., can solve the problem of poor reflectivity recovery accuracy of hyperspectral images

Active Publication Date: 2022-03-04
HARBIN INST OF TECH
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  • Claims
  • Application Information

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Problems solved by technology

[0004] The purpose of the present invention is to solve the problem that existing object-based reflectance restoration methods have poor reflectivity restoration accuracy for hyperspectral images, and propose a hyperspectral remote sensing image reflectivity restoration method based on superpixel segmentation

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  • Hyperspectral Remote Sensing Image Reflectance Restoration Method Based on Superpixel Segmentation
  • Hyperspectral Remote Sensing Image Reflectance Restoration Method Based on Superpixel Segmentation
  • Hyperspectral Remote Sensing Image Reflectance Restoration Method Based on Superpixel Segmentation

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specific Embodiment approach 1

[0050] Specific implementation mode one: the following combination figure 1 To illustrate this embodiment, the hyperspectral remote sensing image reflectance recovery method based on superpixel segmentation described in this embodiment specifically includes:

[0051] Step 1. Use the input hyperspectral remote sensing image to do fine superpixel segmentation, and calculate the segmentation matrix for fine segmentation;

[0052] Step 2. Perform rough superpixel segmentation on the input hyperspectral remote sensing image, and obtain a rough segmentation result set;

[0053] Step 3, using the finely segmented segmentation matrix and the rough segmented result set to calculate the constraint matrix;

[0054] Step 4, using the finely segmented segmentation matrix and constraint matrix to iteratively solve the reflectance of the input hyperspectral remote sensing image.

[0055] Further, in the present invention, in step 1, fine superpixel segmentation is performed on the input h...

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Abstract

A hyperspectral remote sensing image reflectance recovery method based on superpixel segmentation belongs to the field of remote sensing image processing and relates to a hyperspectral image reflectance recovery method. The existing object-based reflectivity recovery method has the problem of poor reflectivity recovery accuracy for hyperspectral images. The present invention utilizes the input hyperspectral remote sensing images to perform fine superpixel segmentation to obtain finely segmented segmentation matrices; Perform rough superpixel segmentation on hyperspectral remote sensing images to obtain a rough segmentation result set; use the finely segmented segmentation matrix and the rough segmented result set to calculate the constraint matrix; use the finely segmented segmentation matrix and constraint matrix to iteratively solve the input hyperspectral remote sensing image Reflectivity. The present invention is suitable for image reflectance recovery.

Description

technical field [0001] The invention belongs to the field of remote sensing image processing and relates to a method for restoring reflectivity of hyperspectral images. Background technique [0002] In recent years, with the continuous development of remote sensing imaging technology, more and more hyperspectral cameras have been launched into space. Remote sensing systems carrying hyperspectral imagers can collect a large amount of surface reflectance data of different wavelengths, and perform target detection, image segmentation and It is of great significance for applications such as ground object classification. The rich spectral information obtained by the hyperspectral sensor can be further separated into two parts: light and shade information and reflectance information. The light and shade information is related to information such as ambient light and shadow, while the reflectance information reflects the properties of specific substances. The reflectance informati...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06T7/00G06T7/11G06K9/62G06F17/16G06F7/78G06V10/764
CPCG06T7/0002G06T7/11G06F17/16G06F7/78G06T2207/10036G06F18/2411
Inventor 谷延锋谢雯金旭东
Owner HARBIN INST OF TECH