Method for carrying out mangrove forest map making on intermediate resolution remote sensing image by utilizing object-oriented classification method

A classification method and object-oriented technology, applied to maps/plans/charts, educational tools, instruments, etc., can solve the problems of time-consuming, labor-intensive, omission and misclassification, and poor timeliness in mangrove map positioning and depiction, and improve classification The effect of high efficiency, high precision, and accelerated classification speed

Inactive Publication Date: 2013-03-27
NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
View PDF3 Cites 29 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention aims to solve the problems of time-consuming and labor-intensive positioning and depiction of mangroves by conventional means, poor timeliness, and serious problems of missing and misclassified mangroves, and provides an object-oriented classification method for mangroves of medium-resolution remote sensing images. method of drawing

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

Examples

Experimental program
Comparison scheme
Effect test

specific Embodiment approach 1

[0016] Specific embodiment one: the present embodiment utilizes the object-oriented classification method to carry out the method for mangrove mapping to medium-resolution remote sensing images, according to the following steps:

[0017] Step 1: Perform orthorectification and geometric fine correction on the Landsat TM data of the medium-resolution remote sensing image to obtain the registered Landsat TM image;

[0018] Step 2: Perform multi-layer and multi-scale segmentation on the registered Landsat TM image obtained in step 1 to obtain a series of segmentation units, each of which is composed of spatially adjacent pixels with a homogeneity of more than 80%. , treat each segmentation unit as an object;

[0019] Step 3: Use Yikang software to extract the texture features and topological features of each object obtained in Step 2, and use the formula of vegetation index and surface humidity index to calculate the normalized difference vegetation index and surface humidity inde...

specific Embodiment approach 2

[0024] Specific implementation mode two: this implementation mode is to further illustrate specific implementation mode one step four, and the vegetation index formula described in step four is The formula for surface humidity index is where ρ red is the reflectivity of the red band, ρ nir is the near-infrared reflectance, ρ swir is the reflectance of short-wave infrared.

specific Embodiment approach 3

[0025] Specific embodiment three: present embodiment is to further illustrate specific embodiment one step five, and the method for extracting the mangrove object from the vegetation object that step four obtains described in step five is:

[0026] Step A: first remove objects whose surface humidity index is less than or equal to 0.4 among the vegetation objects obtained in step 4;

[0027] Step B: Then remove the objects whose texture feature is less than or equal to 0.4;

[0028] Step C: Finally, remove the objects whose distance from the object to the water body is greater than or equal to 50, that is, obtain the mangrove object.

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 relates to a method for carrying out mangrove forest map making on intermediate resolution remote sensing image by utilizing object-oriented classification method, which relates to a method for mangrove forest map making and solves the problems of time and labor waste, bad timeliness and serious neglected and wrong classification of mangrove forest in positioning and map making of mangrove forest map making through conventional means at present. The method comprises the following steps: firstly, carrying out ortho-rectification and geometric exact correction on Landsat TM data so as to obtain Landsat TM images after registration; secondly, carrying out multi-layered multi-dimensioned division on the Landsat TM images after registration, wherein each division unit is used as an object; thirdly, extracting textural and topological characteristics, and calculating normalized vegetation index and ground surface humidity index; fourthly, removing a non-vegetated object so as to obtain a vegetated object; fifthly, extracting a mangrove forest object from the vegetated object; sixthly, exporting the mangrove forest object so as to generate a mangrove forest vector; and seventhly, manufacturing a mangrove forest thematic map. The method disclosed by the invention is used for mangrove forest map making.

Description

technical field [0001] The invention relates to a method for mangrove mapping. Background technique [0002] Mangroves have great economic, social, and ecological values. They can protect against wind and embankments, stabilize coastlines, purify water, and provide local residents with important forest products and social services. It plays a particularly important role in research, maintaining the ecological balance of the coastal zone, and reducing disasters. It is a precious wealth bestowed by nature to human beings. Therefore, the rapid and accurate production of mangrove thematic maps is of great significance for effectively strengthening the protection and management of mangrove wetlands and ecological restoration. However, mangroves are distributed in open and flat intertidal shoals, and field survey methods are difficult to carry out. It is time-consuming and labor-intensive to accurately locate and describe by conventional means, and the cycle is long and the timel...

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): G09B29/00
Inventor 贾明明刘殿伟王宗明任春颖董张玉
Owner NORTHEAST INST OF GEOGRAPHY & AGRIECOLOGY C A S
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