Zobrazeno 1 - 10
of 840
pro vyhledávání: '"high resolution imagery"'
Publikováno v:
Geo-spatial Information Science, Vol 27, Iss 6, Pp 2162-2178 (2024)
Individual Tree Detection-and-Counting (ITDC) is among the important tasks in town areas, and numerous methods are proposed in this direction. Despite their many advantages, still, the proposed methods are inadequate to provide robust results because
Externí odkaz:
https://doaj.org/article/cd3cd0209f9547dda8a79f0c76b24e03
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 18, Pp 1752-1765 (2025)
Aquatic vegetation plays a crucial role in the sustainable development of water resources. Although high-resolution remote sensing imagery has been used to develop methods for the automatic extraction of aquatic vegetation, these methods are usually
Externí odkaz:
https://doaj.org/article/8ec5d024bf994f8fb68741699b61a246
Publikováno v:
GIScience & Remote Sensing, Vol 61, Iss 1 (2024)
Deep-learning-based change detection methods have received wide attention, thanks to their strong capability in obtaining rich features from images. However, existing AI-based change detection (CD) methods largely rely on three functionality-enhancin
Externí odkaz:
https://doaj.org/article/1df612d8f817479f89d17f369827dad4
Autor:
Abimbola Atijosan, Muibi Kolawole
Publikováno v:
Covenant Journal of Engineering Technology, Vol 8, Iss 2 (2024)
Urban land cover classification using high-resolution imagery is important for many applications where detailed and precise urban land cover products are needed. Machine learning algorithms are currently some of the most commonly used methods for cla
Externí odkaz:
https://doaj.org/article/77a72619bf1945039f5cfcda54b6db37
Publikováno v:
Tehnički Glasnik, Vol 18, Iss 1, Pp 142-147 (2024)
Modern geoinformation technologies, such as remote sensing satellite missions and classification methods, are becoming increasingly prominent in land cover classification. Due to the emergence of high spatial resolution missions with improved tempora
Externí odkaz:
https://doaj.org/article/04f636fcd89a40ed9a64532ef408c358
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 84-94 (2024)
This article develops and examines techniques to enable coherent change detection (CCD) for short-range, high-resolution drone-borne synthetic aperture radar (SAR) systems operating at high frequencies. The potential of using high frequencies at shor
Externí odkaz:
https://doaj.org/article/8bb31f7f81664b6f928a9a5cff46b5af
Autor:
Seula Park, Ahram Song
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Existing methods of detecting building changes from very-high-resolution (VHR) images are limited by positional displacement. Although various change detection (CD) methods including deep learning methods have been proposed, they are incapable of ove
Externí odkaz:
https://doaj.org/article/8386829e06e04052b5310112bf4ba277
Autor:
Fatima Imtiaz, Aitazaz Farooque, Xander Wang, Farhat Abbas, Hassan Afzaal, Travis Esau, Bishnu Acharya, Qamar Zaman
Publikováno v:
Frontiers in Remote Sensing, Vol 4 (2023)
Soil moisture variability caused by soil erosion, weather extremes, and spatial variations in soil health is a limiting factor for crop growth and productivity. Crop evapotranspiration (ET) is significant for irrigation water management systems. The
Externí odkaz:
https://doaj.org/article/bbd7e4f8b8e843a2925c62f6cd9eb8c4
Autor:
Ekena Rangel Pinagé, Michael Keller, Christopher P. Peck, Marcos Longo, Paul Duffy, Ovidiu Csillik
Publikováno v:
Carbon Balance and Management, Vol 18, Iss 1, Pp 1-14 (2023)
Abstract Background Tropical forests are critical for the global carbon budget, yet they have been threatened by deforestation and forest degradation by fire, selective logging, and fragmentation. Existing uncertainties on land cover classification a
Externí odkaz:
https://doaj.org/article/27fd2bf3761e4235a60c4e46375eafa1
Publikováno v:
Remote Sensing, Vol 16, Iss 4, p 712 (2024)
High-resolution remote sensing image-based vegetation monitoring is a hot topic in remote sensing technology and applications. However, when facing large-scale monitoring across different sensors in broad areas, the current methods suffer from fragme
Externí odkaz:
https://doaj.org/article/88e45c4bd7d14f769a268320c5c01f04