Results 11 to 20 of about 342,318 (248)
Cycle and Self-Supervised Consistency Training for Adapting Semantic Segmentation of Aerial Images
Remote Sensing, 2022 Semantic segmentation is a critical problem for many remote sensing (RS) image applications. Benefiting from large-scale pixel-level labeled data and the continuous evolution of deep neural network architectures, the performance of semantic segmentation ...
Han Gao +5 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021 The second-generation Chinese polar-orbit meteorological satellite Fengyun-3D carries the MEdium-Resolution Spectral Imager (MERSI-II). MERSI-II has 19 solar channels and 6 middle and thermal infrared channels and can provide daily global coverage ...
Hui Zeng +5 more
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A MODEL STUDY OF SMALL-SCALE WORLD MAP GENERALIZATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 With the globalization and rapid development every filed is taking an increasing interest in physical geography and human economics. There is a surging demand for small scale world map in large formats all over the world.
Y. Cheng +6 more
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A Parallel Computing Algorithm for the Emergency-Oriented Atmospheric Dispersion Model CALPUFF
Atmosphere, 2022 The calculation of the three-dimensional atmospheric dispersion model is often time-consuming, which makes the model difficult to apply to the emergency field.
Dongou Yang, Mei Li, Hui Liu
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SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2017 The ocean carbon cycle has a significant influence on global climate, and is commonly evaluated using time-series satellite-derived CO2 flux data. Location-aware and globe-based visualization is an important technique for analyzing and presenting the ...
S. Wu +9 more
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Sensors, 2021 The development of deep learning provides a new research method for fault diagnosis. However, in the industrial field, the labeled samples are insufficient and the noise interference is strong so that raw data obtained by the sensor are occupied with ...
Xiangyu Zhou, Shanjun Mao, Mei Li
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Remote Sensing, 2015 Road damage detection and assessment from high-resolution remote sensing image is critical for natural disaster investigation and disaster relief. In a disaster context, the pairing of pre-disaster and post-disaster road data for change detection and ...
Jianhua Wang +6 more
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Remote Sensing, 2023 The delay caused by the troposphere is one of the major sources of errors limiting the accuracy of InSAR measurements. The tropospheric correction of InSAR measurements is important.
Qinghua Liu, Qiming Zeng, Zhiliang Zhang
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A GIS Based Unsteady Network Model and System Applications for Intelligent Mine Ventilation
Discrete Dynamics in Nature and Society, 2020 With the development of state-of-the-art technology, such as the artificial intelligence and the Internet of Things, the construction of “intelligent mine” is being vigorously promoted, where the intelligent mine ventilation is one of the primary ...
Hui. Liu +3 more
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A Point-Set-Based Footprint Model and Spatial Ranking Method for Geographic Information Retrieval
ISPRS International Journal of Geo-Information, 2016 In the recent big data era, massive spatial related data are continuously generated and scrambled from various sources. Acquiring accurate geographic information is also urgently demanded.
Yong Gao +3 more
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