High-resolution remote sensing image building extraction method

A technology for remote sensing images and extraction methods, applied in the field of remote sensing images, can solve problems such as reducing accuracy and reducing the degree of automation of methods

Active Publication Date: 2019-12-13
NANJING UNIV OF INFORMATION SCI & TECH
View PDF8 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0006] (1) The extraction of connected regions only depends on the similarity of specific attributes (area, shape, etc.) between adjacent pixels. Since it is not restricted by the inherent boundaries of buildings, connected regions may contain adjacent features with similar attributes pixels, thereby reduc

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
  • High-resolution remote sensing image building extraction method
  • High-resolution remote sensing image building extraction method
  • High-resolution remote sensing image building extraction method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0058] The technical solutions of the present invention will be described in detail below in conjunction with the accompanying drawings.

[0059] Buildings are a type of typical three-dimensional objects in urban scenes. The geometric relationship of buildings in high-resolution remote sensing images is as follows: figure 1 shown. figure 1 Among them, Roof, Ground and Shadow respectively represent the roof of the building, the adjacent ground and the shadow caused by the occlusion of light. Among them, different building roofs have different spectral absorption and reflectance due to different materials, so there may be significant differences in spectral and texture characteristics. However, pixels belonging to the roof of the same building have strong spectral and texture coherence, thus appearing as homogeneously connected regions constrained by building boundaries. In terms of geometric features, buildings usually appear as rectangles or other regular shapes, and morphol...

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 discloses a high-resolution remote sensing image building extraction method. Firstly, candidate object sets are extracted by combining technologies such as image segmentation and shadowdetection; secondly, based on a scale parameter self-adaptive extraction strategy, a differential attribute profile is constructed under object boundary constraints, and an initial building set is obtained; and finally, uncertain objects in the set are automatically extracted according to the inter-class separability, and secondary judgment is carried out to obtain a final building extraction result. According to the invention, the performance of remote sensing image building extraction in urban scenes with numerous ground object types is improved.

Description

technical field [0001] The invention belongs to the field of remote sensing images, in particular to a method for extracting buildings from remote sensing images. Background technique [0002] With the successful operation and continuous improvement of various high-resolution remote sensing platforms, high-resolution remote sensing images have been widely used in many fields, including geographic data update, urban thematic map production, and multi-angle urban classification analysis. Among them, the semantic labeling of urban areas based on high-resolution remote sensing images, especially the automatic recognition and extraction of buildings usually plays an important role in these practical applications, and has always been one of the research hotspots in the field of remote sensing. [0003] Compared with traditional mid- and low-resolution remote sensing images, high-resolution remote sensing images contain richer building detail information, clearer outlines and struc...

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
IPC IPC(8): G06K9/00G06K9/34
CPCG06V20/176G06V10/267
Inventor 王超马晓迪张丛光申祎仇星吴昊天
Owner NANJING UNIV OF INFORMATION SCI & TECH
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