Macro-mesoscopic modeling method for multi-source data fusion by using attention mechanism to extract features

The invention discloses a multi-source data fusion macro-mesoscopic modeling method for extracting features by using an attention mechanism, and the method comprises the steps: collecting multi-source data through multiple devices, and then achieving the multi-modal modeling of point cloud data coll...

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Hauptverfasser: CHEN HONGXIANG, TANIBAYASHI AKIRA, LUO HE, DAI QIUSHI, CHEN GUO, WU MEIQI
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creator CHEN HONGXIANG
TANIBAYASHI AKIRA
LUO HE
DAI QIUSHI
CHEN GUO
WU MEIQI
description The invention discloses a multi-source data fusion macro-mesoscopic modeling method for extracting features by using an attention mechanism, and the method comprises the steps: collecting multi-source data through multiple devices, and then achieving the multi-modal modeling of point cloud data collected by a laser scanner and image data obtained by a linear array camera through a feature extraction algorithm based on the attention mechanism. The method effectively solves the problem that an existing three-dimensional scanner is high in cost and long in consumed time in three-dimensional modeling of a hydropower station outgoing line field, and has the advantages that a live-action three-dimensional model can be constructed through multi-modal modeling, the scanning frequency of the three-dimensional scanner is reduced, the cost is reduced, the consumed time of data acquisition is shortened, the precision is improved through mutual verification of multi-source data, and the real-scene modeling efficiency is i
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subjects CALCULATING
COMPUTING
COUNTING
IMAGE DATA PROCESSING OR GENERATION, IN GENERAL
MEASURING
MEASURING ANGLES
MEASURING AREAS
MEASURING IRREGULARITIES OF SURFACES OR CONTOURS
MEASURING LENGTH, THICKNESS OR SIMILAR LINEARDIMENSIONS
PHYSICS
TESTING
title Macro-mesoscopic modeling method for multi-source data fusion by using attention mechanism to extract features
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