Mangrove plant species rapid identification method based on unmanned aerial vehicle

A mangrove plant and recognition method technology, applied in character and pattern recognition, computer components, biological neural network models, etc., can solve problems such as weak universality, and achieve improved accuracy, strong universality, convenience and high efficiency. Effect

Active Publication Date: 2021-03-26
PEKING UNIV SHENZHEN GRADUATE SCHOOL
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However, the image segmentation parameters and feature types required in related research should be

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  • Mangrove plant species rapid identification method based on unmanned aerial vehicle
  • Mangrove plant species rapid identification method based on unmanned aerial vehicle
  • Mangrove plant species rapid identification method based on unmanned aerial vehicle

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Embodiment Construction

[0049] The present invention will be described in detail below with reference to the accompanying drawings.

[0050] In response to the problem of the characteristic information existing in the existing matrix identification study, the problem of fusion-step red tree plant species identification can be designed for fusion of various feature information, as follows:

[0051] The present invention provides a rapid identification method based on the type of anti-manual red tree plant, and the specific process is figure 1 As shown, including:

[0052] S1: Collecting the original image of the Mangrove Ecosystem;

[0053] S2: Preprocessing the collected drone raw image, data labeling the image, obtaining the training set, test set and verification set required for training networks;

[0054] S3: The pre-processed image of S2 performs three-dimensional dot cloud reconstruction, obtaining the red tree model of the flight area (Digital Surface Model, DSM);

[0055] S4: The training set of...

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Abstract

The invention discloses a mangrove plant species rapid identification method based on an unmanned aerial vehicle, and the method comprises the steps: firstly preprocessing visible light remote sensingdata collected by the unmanned aerial vehicle to acquire a data set needed by a training model; then, generating a digital surface model of the research sample plot through three-dimensional point cloud reconstruction, and pre-classifying the plants in the image into three types by utilizing the height information of the plants represented by the digital surface model; and finally, obtaining classification results of a pixel-level type identification algorithm and an object-oriented type identification algorithm, constructing a mangrove plant classification identification weight database according to different species identification precisions of the two algorithms, and performing refined classification on a pre-classification result according to weights in the database to obtain an accurate mangrove plant type. And the precision of mangrove forest species identification is improved. When species identification is carried out on the same region at different time or in regions with similar plant community types, the weight parameters in the weight database can be directly called, so that the classification and identification efficiency and universality are improved.

Description

Technical field [0001] The present invention belongs to the field of remote sensing monitoring of mangrove, and in particular, the present invention relates to a rapid recognition method based on umanoided red tree plant species. Background technique [0002] The low-altitude drone is low, the data collection is flexible, the image spatial resolution is high, and the ability to obtain image data in real time is particularly advantageous in small area low-altitude, which is an important supplement for traditional aviation remote sensing and satellite remote sensing. In the past few years, drones have received much attention in forest mapping, crop management, and other vegetation monitoring, and the mangrove drone remote sensing research is one of the branches, which is in the start stage. [0003] At present, the mangrove study based on drone remote sensing data is mainly focused on species identification and ecological information extraction of mangrovent plants, and there are m...

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Application Information

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IPC IPC(8): G06K9/00G06K9/62G06N3/04
CPCG06V20/188G06N3/045G06F18/214
Inventor 李瑞利沈小雪翟朝阳张志江鎞倩张月琪
Owner PEKING UNIV SHENZHEN GRADUATE SCHOOL
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