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- W2553238835 abstract "Advances in remote sensing technologies now produce the vast amount of satellite images with better spatial, spectral and temporal resolutions. That enables the frequent monitoring of human activities on the ground such as construction projects. We proposed the use of satellite remote sensing in monitoring of large-scale repetitive construction project, which is mainly via ground visit and report checking in normal practice. Firstly, highest-resolution satellite images like Pleiades and TerraSAR-X were collected for a feasibility study. The findings revealed that optical images could capture clearly at least 4 different main construction stages but the radar counterpart could not. Radar images, however, is still useful to alert the change in the study area when no optical image is available due to cloud cover. Subsequently, we introduced a spatio-temporal detection framework based on content-based image retrieval from optical images. The preliminary experiment with Histogram of Gradient descriptors and Support-Vector-Machine classifiers produced promising results from optical images of Light Rail Transit construction project in Malaysia. Further development needs to extend the library of training samples to ensure a better accuracy and carry out the experiments on data of various situations. The automated detection framework will be the core processing of a web-based monitoring system enabling the accessibility of people involving in such large-scale construction projects." @default.
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- W2553238835 date "2015-01-01" @default.
- W2553238835 modified "2023-09-23" @default.
- W2553238835 title "REMOTE SENSING MONITORING LARGE-SCALE REPETITIVE CONSTRUCTION PROJECTS" @default.
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