Results 11 to 20 of about 485,831 (293)
Correlation Based Imaging for Rotating Satellites [PDF]
SIAM Journal on Imaging Sciences, 2021 arXiv admin note: text overlap with arXiv:2003 ...
Leibovich, Matan +2 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2020 This article presents an image deblurring method using ℓ0-norm-based deblurring and ℓ2-norm-based texture-aware image fusion for remote sensing images.
Heunseung Lim +4 more
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GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 The quality of the 3D model reconstructed using multi-view satellite image depends on the quality of the image. To evaluate the geometric quality of the satellite image, we proposed a method to evaluate the geometric distortion for satellite images and ...
H. Yi +5 more
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Accurate Star Centroid Detection for the Advanced Geosynchronous Radiation Imager of Fengyun-4A
IEEE Access, 2018 Star observation can be used for the image navigation of certain instruments aboard the three-axis stabilized geostationary satellites. How to extract the accurate star centroids in the observed star images is one of the key problems.
Haopeng Zhang +8 more
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IEEE Access, 2019 Extracting accurate star centroids in the observed star images is one of the key problems for image navigation of the geosynchronous interferometric infrared sounder (GIIRS) of Fengyun-4A Satellite (FY-4A), the first scientific experimental satellite of ...
Haopeng Zhang +8 more
doaj +1 more source
Satellite Operation Design for Assessing MTF Performance of Earth Observation Satellite Using Stellar Sources [PDF]
Journal of Astronomy and Space Sciences, 2007 Modulation Transfer Function (MTF) of satellite image is an important performance index in satellite image applications. Therefore MTF performance is assessed using satellite image for the ground target during LEOP phase after launch.
Hee Seob Kim +2 more
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Remote Sensing, 2021 In recent years, research on increasing the spatial resolution and enhancing the quality of satellite images using the deep learning-based super-resolution (SR) method has been actively conducted.
Yeonju Choi, Sanghyuck Han, Yongwoo Kim
doaj +1 more source
Evaluation Analysis of Landsat Level-1 and Level-2 Data Products Using In Situ Measurements
Remote Sensing, 2020 Landsat Level-1 products are delivered as quantized and calibrated scaled Digital Numbers (DN). The Level-1 DN data can be rescaled to Top-of-Atmosphere (TOA) reflectance applying radiometric rescaling coefficients.
Cibele Teixeira Pinto +2 more
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On-Board Ship Detection in Micro-Nano Satellite Based on Deep Learning and COTS Component
Remote Sensing, 2019 Micro-nano satellites have provided a large amount of remote sensing images for many earth observation applications. However, the hysteresis of satellite-ground mutual communication of massive remote sensing images and the low efficiency of traditional ...
Yuan Yao +3 more
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Accurate and automatic NOAA-AVHRR image navigation using a global contour matching approach [PDF]
, 2000 The problem of precise and automatic AVHRR image navigation is tractable in theory, but has proved to be somewhat difficult in practice. The authors' work has been motivated by the need for a fully automatic and operational navigation system capable of ...
Eugenio, F +4 more
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