Remote sensing image fusion method of adaptive simplified pulse coupling neural network model based on multi-scale morphological gradient

A pulse-coupled neural and remote sensing image fusion technology, applied in the field of remote sensing image fusion, can solve the problem of low spatial resolution of the image, achieve the convenience of obtaining parameters, avoid block effect and local blurring of the image, simplify the model structure and the number of parameters Effect

Pending Publication Date: 2022-05-13
CHONGQING UNIV OF POSTS & TELECOMM
View PDF0 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

This type of algorithm can achieve effective fusion in the spectral domain, but the spatial resolution of the fused image is low

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Remote sensing image fusion method of adaptive simplified pulse coupling neural network model based on multi-scale morphological gradient
  • Remote sensing image fusion method of adaptive simplified pulse coupling neural network model based on multi-scale morphological gradient
  • Remote sensing image fusion method of adaptive simplified pulse coupling neural network model based on multi-scale morphological gradient

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0056] The following will clearly and completely describe the technical solutions in the embodiments of the present invention with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some, not all, embodiments of the present invention. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0057] The present invention proposes a remote sensing image fusion method based on an adaptive simplified pulse-coupled neural network model based on multi-scale morphological gradients, such as figure 1 As shown, the method includes: .

[0058] S1: Acquire synthetic aperture radar images and multispectral images;

[0059] S2: Carry out Gaussian curvature filter decomposition and Gaussian filter decomposition on the synthetic aperture radar image respectivel...

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention belongs to the field of remote sensing image fusion, and particularly relates to a remote sensing image fusion method based on a multi-scale morphological gradient self-adaptive simplified pulse coupling neural network model. The method comprises the following steps: acquiring a synthetic aperture radar image and a multispectral image; gaussian curvature filtering decomposition and Gaussian filtering decomposition are carried out on the synthetic aperture radar image to obtain a small-scale image, a large-scale image and a base-scale image; performing color saturation intensity conversion on the multispectral image to obtain an intensity image; fusing the base scale image and the intensity image to obtain an approximate image; fusing the approximate image, the small-scale image and the large-scale image to obtain a fused intensity image; reconstructing the fused intensity image to obtain a fused remote sensing image; according to the method, the scale morphological gradient and the adaptive simplified pulse coupling neural network are combined, and the phenomena of a block effect and local image blurring are avoided.

Description

technical field [0001] The invention belongs to the field of remote sensing image fusion, in particular to a remote sensing image fusion method based on an adaptive simplified pulse-coupled neural network model based on multi-scale morphological gradients. Background technique [0002] With the continuous development of remote sensing application technology, the requirements for the quality of remote sensing images in the fields of environmental protection, weather forecasting, military investigation, smart agriculture, and marine applications continue to increase. The remote sensing images of a single sensor can no longer meet the current application requirements. Remote sensing image fusion is to synthesize single-modal images acquired by multi-source sensors to generate multi-modal images, remove redundant information, add complementary information, make up for the lack of information features of single-modal images, and improve the completeness of information details of f...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
Patent Type & Authority Applications(China)
IPC IPC(8): G06T5/50G06N3/04
CPCG06T5/50G06N3/049G06T2207/10044G06T2207/10036G06T2207/20221G06T2207/20084G06T2207/20024
Inventor 罗小波朱明
Owner CHONGQING UNIV OF POSTS & TELECOMM
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap