Results 21 to 30 of about 86,516 (266)
Characteristic Scale in Satellite Images [PDF]
2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006 We study the problem of finding the characteristic scale of a given satellite image. We want to define this feature so that it does not depend on the spatial resolution of the image. Our approach is based on the use of a linear scale space and the total variation.
Bin Luo 0005 +4 more
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Satellite Image Categorization Using Scalable Deep Learning
Applied Sciences, 2023 Detecting and classifying objects from satellite images are crucial for many applications, ranging from marine monitoring to land planning, ecology to warfare, etc.
Samabia Tehsin +4 more
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Precise Relative Geometric Correction for Multi-Sensor Satellite Images [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesRapid progress in satellite technology has led to a noticeable surge in availability of Earth observation satellite images, which are being collected daily from satellites deployed worldwide.
S. Ban, T. Kim
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DEVELOPMENT OF A MULTI-DIMENSIONAL ARRAY DATABASE BASED MASSIVE SATELLITE INFORMATION PROCESSING AND ANALYSIS SYSTEM: KIWI-SAT [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2022 Information and communication technology (ICT) is mainly applied to finance, telecommunications, and public sectors. However, since the early 2010s, there have been efforts to apply ICT to various fields such as aerospace, life science, energy, and ...
S. Han +5 more
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Generalized Correlation-Based Imaging for Satellites [PDF]
SIAM Journal on Imaging Sciences, 2020 We consider imaging of fast moving small objects in space, such as low earth orbit satellites. The imaging system consists of ground based, asynchronous sources of radiation and several passive receivers above the dense atmosphere. We use the cross correlation of the received signals to reduce distortions from ambient medium fluctuations.
Matan Leibovich +2 more
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Remote Sensing, 2015 This paper investigates the positioning accuracy of image pairs achieved by integrating images from multiple satellites. High-resolution satellite images from IKONOS, QuickBird, and KOMPSAT-2 for Daejeon, Korea were combined to produce pairs of stereo ...
Jaehoon Jeong, Chansu Yang, Taejung Kim
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Automated RPCs Bias Compensation for KOMPSAT Imagery Using Orthoimage GCP Chips in Korea
IEEE Access, 2022 High-resolution satellite images, including KOMPSAT, WorldView-3, and Pléiades, are widely used for mapping and environmental monitoring. In particular, satellite images with high spatial resolution have accurate location information and provide ...
Jaehong Oh +4 more
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An Epipolar Resampling Method for Multi-View High Resolution Satellite Images Based on Block
IEEE Access, 2021 As the basis of stereo observation, epipolar resampling is a critical technology for 3D reconstruction. With the development of the 3D reconstruction using multi-view satellite images, the epipolar resampling of the multi-view satellite images has become
Hui Yi +5 more
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Remote Sensing, 2022 Integrating satellite data at different resolutions (i.e., spatial, spectral, and temporal) can be a helpful technique for acquiring soil information from a synoptic point of view.
Anis Gasmi +4 more
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An Automatic Accurate High-Resolution Satellite Image Retrieval Method
Remote Sensing, 2017 With the growing number of high-resolution satellite images, the traditional image retrieval method has become a bottleneck in the massive application of high-resolution satellite images because of the low degree of automation.
Zhiwei Fan +3 more
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