Remote Sensing, Free Full-Text
Por um escritor misterioso
Last updated 10 julho 2024
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Structure-from-Motion Multi-View Stereo (SfM-MVS) photogrammetry is a viable method to digitize underground spaces for inspection, documentation, or remote mapping. However, the conventional image acquisition process can be laborious and time-consuming. Previous studies confirmed that the acquisition time can be reduced when using a 360-degree camera to capture the images. This paper demonstrates a method for rapid photogrammetric reconstruction of tunnels using a 360-degree camera. The method is demonstrated in a field test executed in a tunnel section of the Underground Research Laboratory of Aalto University in Espoo, Finland. A 10 m-long tunnel section with exposed rock was photographed using the 360-degree camera from 27 locations and a 3D model was reconstructed using SfM-MVS photogrammetry. The resulting model was then compared with a reference laser scan and a more conventional digital single-lens reflex (DSLR) camera-based model. Image acquisition with a 360-degree camera was 3× faster than with a conventional DSLR camera and the workflow was easier and less prone to errors. The 360-degree camera-based model achieved a 0.0046 m distance accuracy error compared to the reference laser scan. In addition, the orientation of discontinuities was measured remotely from the 3D model and the digitally obtained values matched the manual compass measurements of the sub-vertical fracture sets, with an average error of 2–5°.
Remote Sensing Free Full Text Analysis Of Settlement Expansion And
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List of Top 10 Sources of Free Remote Sensing Data - Geoawesomeness
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NASA Earth Observatory - Home
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Remote Sensing, Free Full-Text, Estimation of Forest LAI Using Discrete Airborne LiDAR: A Review
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Remote Sensing, Free Full-Text
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Remote Sensing, Free Full-Text, An Open-Source Semi-Automated Processing Chain for Urban Object-Based Classification
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Decadal Land Use and Land Cover Classifications across India, 1985, 1995, 2005
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Official website of Indian Institute of Remote Sensing, Indian Space Research Organisation, Government of India
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Monitoring peatland water table depth with optical and radar satellite imagery - ScienceDirect
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Remote Sensing, Free Full-Text, Evaluation of Different Machine Learning Algorithms for Scalable Classification of …
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