Zobrazeno 1 - 10
of 25
pro vyhledávání: '"Kyle Gao"'
Autor:
Ziyi Chen, Huayou Wang, Xinyuan Wu, Jing Wang, Xinrui Lin, Cheng Wang, Kyle Gao, Michael Chapman, Dilong Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 134, Iss , Pp 104208- (2024)
In recent years, the Dataset for Object deTection in Aerial images (DOTA) dataset has played a pivotal role in advancing object detection in aerial images (ODAI). Despite its significance, there hasn’t been a comprehensive review summarizing its re
Externí odkaz:
https://doaj.org/article/246c8683939446fab0e6892ec3985e5b
Autor:
Yuwei Cai, Bingxu Hu, Hongjie He, Kyle Gao, Hongzhang Xu, Ying Zhang, Saied Pirasteh, Xiuqing Wang, Wenping Chen, Huxiong Li
Publikováno v:
Egyptian Journal of Remote Sensing and Space Sciences, Vol 27, Iss 1, Pp 108-119 (2024)
The manual extraction of land disturbances associated with oil exploration, which normally includes resource roads, mining facilities, and well pads, presents significant challenges in terms of cost and time. Accurate monitoring and mapping of land d
Externí odkaz:
https://doaj.org/article/a681e0578c1c4fdca3ed9407e8061452
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 132, Iss , Pp 104079- (2024)
Efficient prediction and precise depiction of heavy metal concentrations in urban soil are essential for mitigating non-point source pollution and safeguarding public health. Therefore, this research investigated the estimation of soil heavy metal co
Externí odkaz:
https://doaj.org/article/06d42170ae3845cbb2b2df46b261d0c6
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 125, Iss , Pp 103574- (2023)
The registration of multimodal satellite images is essential for a prerequisite for accruing complementary observational data. Nevertheless, the differential imaging nuances amongst non-linear radiometric multimodal images precipitate a complexity in
Externí odkaz:
https://doaj.org/article/0ce8826389e3414ea3fac911e320bced
Publikováno v:
IEEE Access, Vol 10, Pp 134427-134439 (2022)
Aircraft classification via remote sensing images has many commercial and military applications. The Swin-Transformer has shown great promise, recently dominating general-purpose image classification benchmarks such as ImageNet. In this paper, we tes
Externí odkaz:
https://doaj.org/article/4fcc30b7dfbe42e2afd5e7bc9d7c237a
Autor:
Xiangda Lei, Haiyan Guan, Lingfei Ma, Yongtao Yu, Zhen Dong, Kyle Gao, Mahmoud Reza Delavar, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 115, Iss , Pp 103129- (2022)
Semantic segmentation of large-scale mobile laser scanning (MLS) point clouds is essential for urban scene understanding. However, most of the existing semantic segmentation methods require a large quantity of labeled data, which are labor-intensive
Externí odkaz:
https://doaj.org/article/ab337402c218445cb21601eec1771884
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102875- (2022)
Fine-scale land disturbances due to mining development modify the land surface cover and have cumulative detrimental impacts on the environment. Understanding the distribution of fine-scale land disturbances related to mining activities, such as oil
Externí odkaz:
https://doaj.org/article/0166cc7626cb47c6bb325d6fc1c73584
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102931- (2022)
Despite its success, deep learning in land cover mapping requires a massive amount of pixel-wise labeled images. It typically assumes that the training and test scenes are similar in data distribution. The performance of models trained on any particu
Externí odkaz:
https://doaj.org/article/f0ab2424fcc14cdeb1e675f2f051a9f9
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 112, Iss , Pp 102903- (2022)
Aligning with UN Sustainable Development Goals (SDGs) 1 and 10, the ‘growth-poverty-inequality’ (GPI) nexus has become widely discussed in economic development research. It remains an important discourse regarding sustainable development. To moni
Externí odkaz:
https://doaj.org/article/9d1eeb1da59840e894b0502b0e23a569
Autor:
Nan Chen, Lichun Sui, Biao Zhang, Hongjie He, Kyle Gao, Yandong Li, José Marcato Junior, Jonathan Li
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 104, Iss , Pp 102570- (2021)
High spatial resolution hyperspectral images (HR-HSIs) have shown considerable potential in urban green infrastructure monitoring. A prevalent scheme to overcome spatial resolution limitations in HSIs is by fusing low-resolution hyperspectral images
Externí odkaz:
https://doaj.org/article/d5c40c3516ce43fda8595e28530ef837