Results 21 to 30 of about 46,904 (268)
SMILE CORRECTION IN THE ENMAP GROUND SEGMENT PROCESSOR: A QUALITATIVE ANALYSIS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2018 The Environmental Mapping and Analysis Program (EnMAP) is an upcoming German hyperspectral satellite mission aiming to observe and characterize the Earth’s environment on a global scale.
M. Langheinrich +4 more
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EVALUATION OF INTEL REALSENSE D455 CAMERA DEPTH ESTIMATION FOR INDOOR SLAM APPLICATIONS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2023 The aim of this study is to propose evaluation methodology for the quality assessment of depth cameras for indoor mapping applications. Specifically, we evaluate the RGBD sensor Intel Realsense D455 w.r.t.
P. Hübner, J. Hou, D. Iwaszczuk
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ASSESSMENT OF THREE-DIMENSIONAL MODELS DERIVED FROM LIDAR AND TLS DATA [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 This paper suggests the use of specific methods for assessing the geometry of 3D building models, by considering models extracted automatically from terrestrial laser scanning (TLS) data and aerial laser scanning (ALS) data.
T. Landes +3 more
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GEOREFERENCING OF TLS DATA FOR INDUSTRIAL INDOOR COMPLEX SCENES: BEYOND CURRENT SOLUTIONS [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2012 Current Terrestrial Laser Scanners (TLS) allow fast acquisitions of many dense point clouds. This technology is widely used within industrial complex scenes. The precise georeferencing of all the per-station point clouds is a crucial stage. Nowadays, the
J.-F. Hullo +3 more
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Remote Sensing, 2021 The classification of high-resolution (HR) synthetic aperture radar (SAR) images is of great importance for SAR scene interpretation and application. However, the presence of intricate spatial structural patterns and complex statistical nature makes SAR ...
Wenkai Liang +4 more
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Multi-Label Learning based Semi-Global Matching Forest
Remote Sensing, 2020 Semi-Global Matching (SGM) approximates a 2D Markov Random Field (MRF) via multiple 1D scanline optimizations, which serves as a good trade-off between accuracy and efficiency in dense matching.
Yuanxin Xia +4 more
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Egyptian Journal of Remote Sensing and Space Sciences, 2023 Existing image super-resolution algorithms still suffer from the problems of not extracting rich image features and losing realistic high-frequency details.
Fuzhen Zhu +4 more
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Integrating Advanced AI techniques to assist Urban Digital Twins Generation [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesDigital twins play a crucial role in autonomous driving applications and transportation system simulations. The need for large scale and dynamic information has increased interest in generating urban digital twins from remote sensing data.
J. Tian +11 more
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SyntCities: A Large Synthetic Remote Sensing Dataset for Disparity Estimation
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2022 Studies in the last years have proved the outstanding performance of deep learning for computer vision tasks in the remote sensing field, such as disparity estimation.
Mario Fuentes Reyes +2 more
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Counting Dense Objects in Remote Sensing Images [PDF]
ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2020 Estimating accurate number of interested objects from a given image is a challenging yet important task. Significant efforts have been made to address this problem and achieve great progress, yet counting number of ground objects from remote sensing images is barely studied. In this paper, we are interested in counting dense objects from remote sensing
Guangshuai Gao +2 more
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