Results 281 to 290 of about 419,292 (356)
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CROMA: Remote Sensing Representations with Contrastive Radar-Optical Masked Autoencoders
Neural Information Processing Systems, 2023A vital and rapidly growing application, remote sensing offers vast yet sparsely labeled, spatially aligned multimodal data; this makes self-supervised learning algorithms invaluable.
A. Fuller, K. Millard, James R. Green
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IEEE Geoscience and Remote Sensing Magazine
Today, remote sensing systems/technologies are one of the most essential requirements for civil and military sectors for various applications. This review article discusses the evolutionary developments of today’s remote sensing radar/optical/electronic ...
A Arockia Bazil Raj, Balasubramanian K
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Today, remote sensing systems/technologies are one of the most essential requirements for civil and military sectors for various applications. This review article discusses the evolutionary developments of today’s remote sensing radar/optical/electronic ...
A Arockia Bazil Raj, Balasubramanian K
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IEEE Geoscience and Remote Sensing Letters, 2017
Hongbo Sun, Masanobu Shimada, Feng Xu
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Hongbo Sun, Masanobu Shimada, Feng Xu
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Radar remote sensing image retrieval algorithm based on improved Sobel operator
Journal of Visual Communication and Image Representation, 2020Aiming at the time-consuming problem caused by large computational load of radar image retrieval, based on blocking histogram, Sobel edge detection operator and gray level co-occurrence matrix (GLCCM), new radar remote sensing image retrieval algorithm ...
Guobin Chen +2 more
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, 2020
Observing Earth from the space is key for monitoring land-surface dynamics and probing near-surface geomorphic and geological features, including those obscured by sand sheets/dunes and human activity.
Mohamed Abdelkareem +3 more
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Observing Earth from the space is key for monitoring land-surface dynamics and probing near-surface geomorphic and geological features, including those obscured by sand sheets/dunes and human activity.
Mohamed Abdelkareem +3 more
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Crop type classification using a combination of optical and radar remote sensing data: a review
International Journal of Remote Sensing, 2019Reliable and accurate crop classification maps are an important data source for agricultural monitoring and food security assessment studies. For many years, crop type classification and monitoring were focused on single-source optical satellite data ...
A. Orynbaikyzy, U. Gessner, C. Conrad
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Helicity in radar remote sensing
IEEE International Geoscience and Remote Sensing Symposium, 2003In this paper we investigate the use of radar polarimetry and polarimetric radar interferometry for measuring the properties of random chiral particle clouds. Helicity is an established concept in radar polarimetry but to date it has been restricted to coherent scattering mechanisms. Here we show how it can be used for random media studies and conclude
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Capabilities of noise radar in remote sensing applications
2012 Tyrrhenian Workshop on Advances in Radar and Remote Sensing (TyWRRS), 2012Nowadays noise waveform signals attract attention of radar engineers because they are inexpensive to generate both in analog and digital formats, covert, have good resistance against jamming and interference, are easily obtained using current microwave and RF circuit technology, spectrally very efficient and can share spectral bands without mutual ...
Konstantin Lukin +5 more
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Remote Radar Sensing: Atmospheric Structure and Insects
Science, 1973A high-resolution radar sounder has been used in the simultaneous detection of atmospheric structure and insects. The vertical distribution of insects was often correlated with atmospheric structure. Continuous recordings revealed diurnal fluctuations and layering of insects at various altitudes.
J H, Richter +5 more
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