Results 31 to 40 of about 12,167 (257)
Remote sensing image fusion based on Bayesian GAN
CoRR, 2020 Remote sensing image fusion technology (pan-sharpening) is an important means to improve the information capacity of remote sensing images. Inspired by the efficient arameter space posteriori sampling of Bayesian neural networks, in this paper we propose a Bayesian Generative Adversarial Network based on Preconditioned Stochastic Gradient Langevin ...
Junfu Chen, Yue Pan, Yang Chen
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DATA FUSION TECHNOLOGY OF MULTI-PLATFORM EARTH OBSERVATION ON AGRICULTURE [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2013 Earth observation is the gathering of information via remote sensing technologies supplemented by earth surveying techniques, encompassing the collection, analysis and presentation of data.
W. Xie, Y. Xue, L. Zhai, H. Sang
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Image Fusion for Remote Sensing Applications [PDF]
, 2011 Remote Sensing systems, particularly those deployed on satellites, provide a repetitive and consistent view of the Earth (Schowengerdt, 2007). To meet the needs of different remote sensing applications the systems offer a wide range of spatial, spectral, radiometric and temporal resolutions.
Leila Fonseca +5 more
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Noisy Remote Sensing Image Fusion Based on JSR [PDF]
IEEE Access, 2020 Compressed sensing has shown great potential and power in image representation, especially in image reconstruction by sparse representation. Due to complementary information and unavoidable noise existing in synthetic aperture radar (SAR) and other source images, joint sparse representation (JSR) is developed to separate redundancy and complementary ...
Xiaole Ma +4 more
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FUSING OF OPTICAL AND SYNTHETIC APERTURE RADAR (SAR) REMOTE SENSING DATA: A SYSTEMATIC LITERATURE REVIEW (SLR) [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2019 Remote sensing and image fusion have recognized many important improvements throughout the recent years, especially fusion of optical and synthetic aperture radar (SAR), there are so many published papers that worked on fusing optical and SAR data which ...
S. Mahyoub +4 more
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Multi-Scale Graph-Based Feature Fusion for Few-Shot Remote Sensing Image Scene Classification
Remote Sensing, 2022 Remote sensing image scene classification has drawn extensive attention for its wide application in various scenarios. Scene classification in many practical cases faces the challenge of few-shot conditions.
Nan Jiang, Haowen Shi, Jie Geng
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Multifeature Alignment and Matching Network for SAR and Optical Image Registration
IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingDue to the modal disparities between synthetic aperture radar (SAR) and optical images, effectively extracting modality-shared structural features is crucial for achieving accurate registration results.
Xin Hu +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote SensingThe registration of synthetic aperture radar (SAR) and optical images is significant in obtaining their complementary information, which is a key prerequisite for image fusion. However, the inherent differences between the two modalities pose a challenge
Xuanran Zhao +4 more
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Light-weight Fusion Network for UAV Visible-light and Infrared Images based on Real-time Brain-like Intelligent Computing [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information SciencesMultiple sensors equipped on the Unmanned Aerial Vehicle (UAV) enables the acquisition of multi-modal and multi-source remote sensing data. UAV remote sensing usually faces with real-time or near-real-time tasks in complex and highly dynamic environments,
K. Hu +7 more
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Interpretation of remotely sensed images in a context of multisensor fusion [PDF]
, 1992 This paper presents a scene interpretation system in a context of multi-sensor fusion. We present how the real world and the interpreted scene are modeled; knowledge about sensors and multiple views notion (shot) are taken into account. Some results are shown from an application to SAR/SPOT images interpretation.
Véronique Clément +2 more
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