Full-waveform onboard laser radar terrain classification method and system based on feature selection

An airborne laser radar and ground object classification technology, which is applied in radio wave measurement systems, computer components, and electromagnetic wave re-radiation. Error and misclassification error reduction, the effect of high-precision ground object classification

Active Publication Date: 2020-02-14
HUBEI UNIV
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Problems solved by technology

[0007] In view of this, in order to overcome the deficiencies of the existing technology, the present invention provides a feature selection based full waveform airborne LiDAR object classification method and system, the method and system...

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  • Full-waveform onboard laser radar terrain classification method and system based on feature selection
  • Full-waveform onboard laser radar terrain classification method and system based on feature selection
  • Full-waveform onboard laser radar terrain classification method and system based on feature selection

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[0047] The following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0048] refer to figure 1, a full-waveform airborne lidar object classification method based on ReliefF feature selection provided in this embodiment, firstly, prepare and install the full-waveform airborne lidar, and generate airborne lidar data, and then perform a full-wavelength airborne lidar The waveform data is preprocessed to remove the influence of noise, Gaussian decomposition is performed on the preprocessed full waveform data, echo pa...

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Abstract

The invention discloses a full-waveform onboard laser radar terrain classification method based on ReliefF feature selection. The method comprises the steps of performing Gaussian decomposition on onboard laser radar full-waveform data, acquiring an echo parameter and optimizing the echo parameter by using an LM algorithm; extracting onboard laser radar data point-cloud features based on differentgeometric neighborhood, and extracting the waveform features of the full-waveform data by utilizing the optimized echo parameter; integrating the point-cloud features in the onboard laser radar datawith the waveform features of the full-waveform data, and evaluating the significance of each feature in the classification by using the ReliefF algorithm; and performing feature selection, analyzinginfluence on different terrain classification effects by multiple feature combinations, and performing terrain classification by utilizing a random forest classifier. The classified optimal feature combination is searched through feature extraction and selection by utilizing the onboard laser radar point-cloud data and the full-waveform data, thereby reaching an aim of realizing high-precision terrain multi-classification.

Description

【Technical field】 [0001] The present invention relates to a method and system for classifying airborne laser radar ground objects, belonging to the technical field of airborne laser radar, in particular to a full-waveform airborne laser radar ground object classification method based on feature selection. 【Background technique】 [0002] Airborne LiDAR System (ALS) is an active ground-to-ground system that integrates a high-precision inertial measurement unit (Inertial Measurement Unit, IMU), a global positioning system (Global Positioning System, GPS) and a laser scanning ranging system. The observation system can obtain the distance between the scanner and the laser footpoint by measuring the time that the laser pulse travels in the air. It is widely used in forest parameter estimation, 3D city modeling, power line extraction and digital ground model generation. In recent years, because ALS has many advantages such as less affected by weather, fast operation cycle, strong t...

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Application Information

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IPC IPC(8): G01S17/933G01S7/48G06K9/00G06K9/62
CPCG01S17/933G01S7/4802G06V20/13G06F18/24323
Inventor 张良张帆金贵梁昌迅
Owner HUBEI UNIV
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