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Error-Reduced Digital Elevation Model of the Qinghai-Tibet Plateau using ICESat-2 and Fusion Model. [PDF]
Zhang X +8 more
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Accurately estimating the spatial–temporal distribution of downward surface shortwave radiation (DSSR) is essential for terrestrial ecological modeling and climate change research. The accurate georegistration of digital elevation model (DEM) has become one of the significant bottlenecks for improving the DSSR accuracy over rugged terrain.
Dalei Hao, Jianguang Wen, Qing Xiao
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Accuracy of geolocation and DEM for ASTER
Since the launch in December of 1999, ASTER (Advanced Thermal Emission and Reflection Radiometer) has collected more than 1,000,000 scenes of data and generated more than 10,000 DEM and ortho-rectified images (Level 3A) from them, covering 20% of the whole land.
Hiroshi Watanabe
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Geolocation accuracy improvement for NovaSAR-1 imagery acquired through TLE orbit
NovaSAR-1 is a small S-band Synthetic Aperture Radar (SAR) mission mainly for land and maritime applications. Since SAR has side-looking geometry, thus slant and ground range SAR products have geometric distortions. To correct these geometric distortions,
Shefali Agrawal, Prakash Chauhan
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Aerial-DEM geolocalization for GPS-denied UAS navigation
Machine Vision and Applications, 2020Accelerated by the proliferation of small, affordable, and lightweight electronically scanning radar systems as well as advances in Unmanned Aircraft System (UAS) technology, Geo-Registered Radar Returns data are becoming an incredible source for geolocalization in GPS-denied UAS navigation.
Teng Wang 0006, Arun K. Somani
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Impacts of DEM Geolocation Bias on Multiscale Validation of Land Surface Albedo Over Rugged Terrain
IEEE Geoscience and Remote Sensing LettersJianguang Wen, Dongqin You, Yuan Han
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Aerial-DEM Geolocalization for GPS-Denied UAS Navigation
2018 Ninth International Conference on Intelligent Control and Information Processing (ICICIP), 2018Accelerated by the proliferation of small, affordable, and lightweight electronically scanning radar systems as well as advances in UAS (Unmanned Aircraft System) technology, GRRR (Geo-Registered Radar Returns) data is becoming an incredible source for geolocalization in GPS-denied UAS navigation.
Teng Wang, Changyin Sun, Guanqing Lao
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The increasing amount of geo-spatial data goes in-line with the increasing number of Earth observation satellites in space. The integration of this spaceborne data in large storage data cubes allows the analysis of continental to global phenomena with machine-learning techniques but also requires consistent and accurate geolocation of the various input
Ernest Fahrland +3 more
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Ernest Fahrland +3 more
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Accurate geolocation in GNSS-denied mountainous environments remains a significant challenge for navigation and field operations. While vision-based methods using terrain features like skylines offer a promising passive solution, their performance is often hindered by unknown camera orientation, low feature discriminability across vast areas, and ...
Yanyan Chen +7 more
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Yanyan Chen +7 more
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