Zobrazeno 1 - 10
of 1 052
pro vyhledávání: '"super-resolution (SR)"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 13669-13677 (2024)
Remote sensing image analysis plays a vital role in achieving intelligent agricultural monitoring. However, the acquisition of high-resolution agricultural remote sensing data can be resource-intensive, resulting in an imbalance between training samp
Externí odkaz:
https://doaj.org/article/8b13ba540e1742a7b01973da2e0ef14a
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 11117-11133 (2024)
Super-resolution reconstruction technology is a crucial approach to enhance the quality of remote sensing optical images. Currently, the mainstream reconstruction methods leverage convolutional neural networks (CNNs). However, they overlook the globa
Externí odkaz:
https://doaj.org/article/0634e07069e84ff9908d5c565a7723cb
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 10636-10647 (2024)
Digital surface model (DSM) is the fundamental data in various geoscience applications, such as city 3-D modeling and urban environment analysis. The freely available DSM often suffers from limited spatial resolution. Super-resolution (SR) is a promi
Externí odkaz:
https://doaj.org/article/3d8796d7f6bf4ff3b0ea813bb5d8a74d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 8581-8593 (2024)
Smart satellites and unmanned aerial vehicles (UAVs) are typically equipped with visible light and infrared (IR) spectrum sensors. However, achieving real-time object detection utilizing these multimodal data on such resource-limited devices is a cha
Externí odkaz:
https://doaj.org/article/24320c0fba4e40f7a3c636be8871dd83
Autor:
The Van Le, Jin Young Lee
Publikováno v:
IEEE Access, Vol 12, Pp 40989-40999 (2024)
Video captioning is an automatic task that collects natural language to represent visual content. Recently, it has achieved lots of amazing progress thanks to deep learning techniques. Most techniques have mainly focused on a deep learning network ar
Externí odkaz:
https://doaj.org/article/2a715d9827164f4aab242d30993de2a5
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6860-6874 (2024)
Super-resolution (SR) based on deep learning has been playing an important role in improving the spatial resolution of remote sensing images. Although convolutional neural networks (CNNs) dominate the research of remote sensing image SR, most of them
Externí odkaz:
https://doaj.org/article/cd8d955b438c4d278081e3a9300e02bd
Autor:
Valentino Constantinou, Mark Hoffmann, Matthew Paterson, Ali Mezher, Brian Pak, Alexander Pertica, Emily Milne
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 6354-6365 (2024)
The expansion of small satellite networks in earth's orbit has resulted in a plethora of earth optical imagery available to the civil, defense, and commercial sectors. Small satellites (less than 1000 kg in mass) and their constellations can be deliv
Externí odkaz:
https://doaj.org/article/cea2461c4c794073b8aa9eb1bf0a180d
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 5527-5540 (2024)
Most of the existing remote sensing image super-resolution (SR) methods based on deep learning tend to learn the mapping from low-resolution (LR) images to high-resolution (HR) images directly. But they ignore the potential structure and texture cons
Externí odkaz:
https://doaj.org/article/f3d1d48d483146d1ab622993307cdb6b
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 1363-1376 (2024)
Remote sensing images are essential in many fields, such as land cover classification and building extraction. The huge difference between the directly acquired remote sensing images and the actual scene, due to the complex degradation process and ha
Externí odkaz:
https://doaj.org/article/a837e469932c4470a5ed867b45ebf5bf
Autor:
Anna Malczewska, Maciej Wielgosz
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 340-363 (2024)
In the dynamic field of satellite imagery, the significance of super-resolution (SR) techniques, grounded on advanced deep learning methods, is paramount. A thorough understanding and remediation of the distinct challenges posed by various land cover
Externí odkaz:
https://doaj.org/article/8b31a75ac8114e8db6f5a8fc669f60b2