Lake water area information extraction method based on Landsat OLI multispectral image

A multi-spectral image and information extraction technology, applied in the field of lake water information extraction based on LandsatOLI multi-spectral images, can solve the problems of heavy workload, unclear distinction between water information and non-water information, and cumbersome post-classification processing. Workload, improve the efficiency of classification processing, improve the effect of accuracy and efficiency

Active Publication Date: 2016-09-21
HUAIYIN TEACHERS COLLEGE
View PDF3 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In order to improve the accuracy and efficiency of classification and extraction of lake waters, and overcome the shortcomings of the existing lake waters extraction, such as insufficient distinction between water information and non-water information, cumbersome post-classification processing, and heavy workload, the present invention designs a multi-spectral image based on LandsatOLI The lake water information extraction method uses multi-scale image segmentation, combined with the comprehensive use of the first, second and sixth bands of Landsat OLI, to improve the speed and accuracy of lake water information extraction, provide basic data for subsequent scientific research, and simplify the classification work steps

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
  • Lake water area information extraction method based on Landsat OLI multispectral image
  • Lake water area information extraction method based on Landsat OLI multispectral image
  • Lake water area information extraction method based on Landsat OLI multispectral image

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0028] Example: such as figure 1 As shown, the following steps are used to obtain the water information data of the Hongze Lake area

[0029] (1) Use ENVI software to perform calibration, geometric correction, atmospheric correction, mosaic, and clipping preprocessing on the Landsat OLI multispectral data to be analyzed, including the following specific content:

[0030] (11) Use remote sensing image processing software to calibrate the original Landsat OLI data. If the number of remote sensing images is large, perform batch processing;

[0031] (12) Use remote sensing image processing software to fuse the multispectral data after calibration in step (11), and fuse the data of the 7 bands in sequence. If the number of remote sensing images is large, perform batch processing;

[0032] (13) For the fused data in step (12), perform clipping, framing, and mosaic processing according to the range of the target area to obtain complete multispectral data of the target area;

[0033...

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 lake water area information extraction method based on Landsat OLI multispectral image, and the method comprises the following steps: 1) preprocessing including calibration, geometric correction, atmospheric correction, clipping and embedding is performed on Landsat OLI multispectral data; 2) the preprocessed multispectral data is divided by adopting a multiscale image segmentation method; 3) two user-defined normalized difference water body indexes and MNDWI (Modified Normalized Difference Water Index) are constructed; 4) threshold values are separately set for three normalized difference water body indexes, and water area information is extracted; 5) series water area objects are exported, and water area vector data is generated; 6) the Landsat OLI multispectral image is cut by using the water area vector data, and the water area information data is obtained. According to the invention, the first and second waveband information of the Landsat OLI is comprehensively utilized, the water area information extraction speed and precision are improved, and essential data is provided for following scientific research.

Description

technical field [0001] The invention belongs to the intersecting field of remote sensing image processing technology, geographic information system technology and lake environment protection technology, and in particular relates to a method for extracting lake water area information based on Landsat OLI multi-spectral images. Background technique [0002] There are various types of ground features and complex spatial distribution in the coastal areas of lakes, and most of the pixels are mixed pixels. Traditional lake water extraction methods are mostly based on pixel classification and extraction, which is prone to produce small classified patches and "salt and pepper" phenomena, and Misclassification and omission of classification are prone to occur, and post-classification processing will consume a lot of manpower and time. [0003] Landsat OLI remote sensing imagery is the imaging data of the sensor carried by the latest Landsat8 satellite, which has been widely used for ...

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): G06T7/00
CPCG06T2207/10032G06T2207/30181
Inventor 姜晓剑赵利琴李才生张迹汪伟刘乃森
Owner HUAIYIN TEACHERS COLLEGE
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