Journal
INTELLIGENT AUTOMATION AND SOFT COMPUTING
Volume 37, Issue 2, Pages 1655-1672Publisher
TECH SCIENCE PRESS
DOI: 10.32604/iasc.2023.039057
Keywords
Unmanned air vehicle; multi -spectral camera; oblique; photography; 3D model construction; ecological environment investigation; regional scale
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In this study, unmanned aerial vehicle (UAV) remote sensing technology was used to acquire oblique images and multispectral data in a campus area. Through the use of professional software, a 3D campus model, digital orthophoto map, and multispectral remote sensing map were created, and the geometric accuracy of the selected features were evaluated. The campus ecological environment was assessed based on vegetation and water body perspectives. The findings of this study have significant implications for the scientific management and sustainable development of regional natural resources.
The acquisition of digital regional-scale information and ecological environmental data has high requirements for structural texture, spatial resolution, and multiple parameter categories, which is challenging to achieve using satellite remote sensing. Considering the convenient, facilitative, and flexible characteristics of UAV (unmanned air vehicle) remote sensing technology, this study selects a campus as a typical research area and uses the Pegasus D2000 equipped with a D-MSPC2000 multi-spectral camera and a CAM3000 aerial camera to acquire oblique images and multi-spectral data. Using professional software, including Context Capture, ENVI, and ArcGIS, a 3D (three-dimensional) campus model, a digital orthophoto map, and multispectral remote sensing map drawing are realized, and the geometric accuracy of typical feature selection is evaluated. Based on a quantitative remote sensing model, the campus ecological environment assessment is performed from the perspectives of vegetation and water body. The results presented in this study could be of great significance to the scientific management and sustainable development of regional natural resources.
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