Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Zou, Xuechao"'
Due to the diverse geographical environments, intricate landscapes, and high-density settlements, the automatic identification of urban village boundaries using remote sensing images remains a highly challenging task. This paper proposes a novel and
Externí odkaz:
http://arxiv.org/abs/2409.03431
Cattle face recognition holds paramount significance in domains such as animal husbandry and behavioral research. Despite significant progress in confined environments, applying these accomplishments in wild settings remains challenging. Thus, we cre
Externí odkaz:
http://arxiv.org/abs/2403.19980
Pansharpening, a pivotal task in remote sensing, involves integrating low-resolution multispectral images with high-resolution panchromatic images to synthesize an image that is both high-resolution and retains multispectral information. These pansha
Externí odkaz:
http://arxiv.org/abs/2311.12083
Spatiotemporal prediction aims to generate future sequences by paradigms learned from historical contexts. It is essential in numerous domains, such as traffic flow prediction and weather forecasting. Recently, research in this field has been predomi
Externí odkaz:
http://arxiv.org/abs/2309.00314
Lake extraction from remote sensing imagery is a complex challenge due to the varied lake shapes and data noise. Current methods rely on multispectral image datasets, making it challenging to learn lake features accurately from pixel arrangements. Th
Externí odkaz:
http://arxiv.org/abs/2308.08443
Optical satellite images are a critical data source; however, cloud cover often compromises their quality, hindering image applications and analysis. Consequently, effectively removing clouds from optical satellite images has emerged as a prominent r
Externí odkaz:
http://arxiv.org/abs/2308.04417
Lake extraction from remote sensing images is challenging due to the complex lake shapes and inherent data noises. Existing methods suffer from blurred segmentation boundaries and poor foreground modeling. This paper proposes a hybrid CNN-Transformer
Externí odkaz:
http://arxiv.org/abs/2308.04397
The Three-River-Source region is a highly significant natural reserve in China that harbors a plethora of botanical resources. To meet the practical requirements of botanical research and intelligent plant management, we construct a dataset for Plant
Externí odkaz:
http://arxiv.org/abs/2304.04963
Satellite imagery analysis plays a pivotal role in remote sensing; however, information loss due to cloud cover significantly impedes its application. Although existing deep cloud removal models have achieved notable outcomes, they scarcely consider
Externí odkaz:
http://arxiv.org/abs/2303.16565
Autor:
Wang, Shiying1,2 (AUTHOR), Zou, Xuechao3 (AUTHOR), Li, Kai4 (AUTHOR), Xing, Junliang4 (AUTHOR), Cao, Tengfei1,2 (AUTHOR), Tao, Pin1,4 (AUTHOR) taopin@tsinghua.edu.cn
Publikováno v:
Remote Sensing. Aug2024, Vol. 16 Issue 16, p2899. 22p.
