Vegetation identification method and application

A recognition method and vegetation technology, applied in the direction of nuclear method, character and pattern recognition, instruments, etc., can solve the problem of accurately distinguishing mature and young palm trees, etc., to solve the sensitivity of input parameter values, improve recognition accuracy and Efficiency, the effect of improving recognition efficiency

Pending Publication Date: 2021-04-16
SHENZHEN INST OF ADVANCED TECH
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Problems solved by technology

[0005] Based on the fact that it is difficult to accurately distinguish between mature and young palm trees and other vegetation using optical remote sensing and SAR data, and the existing classific

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  • Vegetation identification method and application
  • Vegetation identification method and application
  • Vegetation identification method and application

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Experimental program
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Embodiment

[0047] 1Landsat-8 and Sentinel-1 image fusion

[0048] First, for the Landsat-8 image data, use the cloud mask algorithm provided in GEE to select all cloud-free Landsat-8 image data within a year, and calculate the average value of the image data for each month as the image data source of Landsat-8 , the synthetic window size is set to 6 months; secondly, use GEE to obtain all Sentinel-1 image data within one year, and calculate the average value of each month as the image data source of Sentinel-1, and the synthetic window size is also set to 6 months. Finally, select the blue band, green band, red band and near-infrared band with a resolution of 30 meters in the Landsat-8 image, and the single co-polarization band VV (vertical emission / vertical reception) and double cross poles in the Sentinel-1 image The integrated image data of Landsat-8 and Sentinel-1 are obtained by fusing the band VH (vertical emission / horizontal reception).

[0049] 2 feature extraction

[0050] Fe...

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Abstract

The invention belongs to the technical field of environmental protection, and particularly relates to a vegetation identification method and application. Due to the fact that mature and young palm trees and other vegetations are difficult to distinguish accurately by using optical and SAR data, and an existing classification algorithm has strong dependence on values of input parameters when monitoring and recognizing the vegetations. The vegetation identification method is applied to identification of a palm plantation, and comprises the following steps: fusing a first satellite optical remote sensing image and a second satellite synthetic aperture radar image to obtain fused image data; extracting an information feature combination from the fused data image; calculating weight values of the features, and selecting an optimal subset as a model training set; optimizing a random forest algorithm to obtain an improved random forest algorithm, and training a vegetation identification and classification model by adopting the improved random forest algorithm and the model training set; and verifying the vegetation identification classification model to obtain an identification result. The identification efficiency can be remarkably improved.

Description

technical field [0001] The application belongs to the technical field of environmental protection, and in particular relates to a vegetation identification method and its application. Background technique [0002] At present, many studies have used satellite remote sensing data to identify vegetation. Optical-based methods rely on information extracted from phenological or image features of vegetation, including phenological methods and image recognition methods. Phenology-based methods mainly use temporal changes in vegetation spectra to monitor the expansion of vegetation such as palm trees. In order to solve the identification and monitoring problems of vegetation such as palm plantations in tropical areas, the all-weather global observation Synthetic Aperture Radar (SAR) has become the object of attention. These studies used radar satellite data (L-band in ALOS PALSAR and C-band in Sentinel-1) as the main basis for identifying vegetation. Using radar satellite data, d...

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Application Information

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IPC IPC(8): G06K9/00G06K9/46G06K9/62G06N20/10
Inventor 钱静徐锴滨孙加裕陈朝亮魏树杰
Owner SHENZHEN INST OF ADVANCED TECH
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