Results 11 to 20 of about 1,500,955 (329)

Ontological Foundations for Geographic Information Science [PDF]

open access: yes, 2004
We propose as a UCGIS research priority the topic of “Ontological Foundations for Geographic Information.” Under this umbrella we unify several interrelated research subfields, each of which deals with different perspectives on geospatial ontologies and ...
Egenhofer, Max   +3 more
core   +1 more source

Cycle and Self-Supervised Consistency Training for Adapting Semantic Segmentation of Aerial Images

open access: yesRemote 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
doaj   +1 more source

Land Surface Temperature and Emissivity Retrieval from Nighttime Middle and Thermal Infrared Images of Chinese Fengyun-3D MERSI-II

open access: yesIEEE 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
doaj   +1 more source

GEOGRAPHIC INFORMATION SYSTEM – TOBEL [PDF]

open access: yesThe International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013
Abstract. TOBEL is Geographic Information System entirely developed by one of the leading Bulgarian Geo-information companies – "Mapex" JSC. The system is based on modern information technology and it is especially designed for Bulgarian authorities. GIS – TOBEL provides to municipalities extraordinary quantitative and qualitative benefits.
openaire   +4 more sources

A Parallel Computing Algorithm for the Emergency-Oriented Atmospheric Dispersion Model CALPUFF

open access: yesAtmosphere, 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
doaj   +1 more source

A MODEL STUDY OF SMALL-SCALE WORLD MAP GENERALIZATION [PDF]

open access: yesThe 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
doaj   +1 more source

SPATIOTEMPORAL VISUALIZATION OF TIME-SERIES SATELLITE-DERIVED CO2 FLUX DATA USING VOLUME RENDERING AND GPU-BASED INTERPOLATION ON A CLOUD-DRIVEN DIGITAL EARTH [PDF]

open access: yesISPRS 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
doaj   +1 more source

Evaluation of InSAR Tropospheric Correction by Using Efficient WRF Simulation with ERA5 for Initialization

open access: yesRemote 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
doaj   +1 more source

Knowledge-Based Detection and Assessment of Damaged Roads Using Post-Disaster High-Resolution Remote Sensing Image

open access: yesRemote 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
doaj   +1 more source

A Novel Anti-Noise Fault Diagnosis Approach for Rolling Bearings Based on Convolutional Neural Network Fusing Frequency Domain Feature Matching Algorithm

open access: yesSensors, 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
doaj   +1 more source

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