Zobrazeno 1 - 10
of 37
pro vyhledávání: '"Di'en Zhu"'
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 2849-2865 (2024)
Accurately classifying tree species in urban forests remains a major challenge due to the limitations of existing methods. While hyperspectral imaging is capable of capturing detailed spectral information, it struggles with the issue of ‘similar re
Externí odkaz:
https://doaj.org/article/96eb77911582417a840ba3b41179b04b
Autor:
Xuejian Li, Huaqiang Du, Guomo Zhou, Fangjie Mao, Di’en Zhu, Meng Zhang, Yanxin Xu, Lv Zhou, Zihao Huang
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Vegetation phenology has long been adapted to environmental change and is highly sensitive to climate change. Shifts in phenology also affect feedbacks of vegetation to environmental factors such as topography and climate by influencing spatiotempo
Externí odkaz:
https://doaj.org/article/00462cd31649463ca66e154c491a2229
Autor:
Yanxin Xu, Xuejian Li, Huaqiang Du, Fangjie Mao, Guomo Zhou, Zihao Huang, Di’en Zhu, Qi Chen, Chi Ni, Keruo Guo
Publikováno v:
GIScience & Remote Sensing, Vol 60, Iss 1 (2023)
Bamboo forests have a high carbon sequestration potential. Solar-induced chlorophyll fluorescence (SIF) provides fresh insights into the temporal and geographical variations in bamboo development and its interactions with the environment. SIF can ser
Externí odkaz:
https://doaj.org/article/d7697f2c075e47f19427b17ec01fb435
Autor:
Luofan Dong, Huaqiang Du, Fangjie Mao, Ning Han, Xuejian Li, Guomo Zhou, Di'en Zhu, Junlong Zheng, Meng Zhang, Luqi Xing, Tengyan Liu
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 113-128 (2020)
Recently, convolutional neural networks (CNNs) showed excellent performance in many tasks, such as computer vision and remote sensing semantic segmentation. Especially, the ability to learn high-representation features of CNN draws much attention. An
Externí odkaz:
https://doaj.org/article/2dbcf63a17e940b49aef28c1e4c5baf8
Autor:
Jie Xuan, Xuejian Li, Huaqiang Du, Guomo Zhou, Fangjie Mao, Jingyi Wang, Bo Zhang, Yulin Gong, Di’en Zhu, Lv Zhou, Zihao Huang, Cenheng Xu, Jinjin Chen, Yongxia Zhou, Chao Chen, Cheng Tan, Jiaqian Sun
Publikováno v:
Remote Sensing, Vol 15, Iss 1, p 97 (2022)
In this paper, a method for extracting the height of urban forest trees based on a smartphone was proposed to efficiently and accurately determine tree heights. First, a smartphone was used to obtain person–tree images, LabelImg was used to label t
Externí odkaz:
https://doaj.org/article/cbfe6ac724ed4196b63b0097e8261ea1
Autor:
Meng Zhang, Huaqiang Du, Guomo Zhou, Fangjie Mao, Xuejian Li, Lv Zhou, Di’en Zhu, Yanxin Xu, Zihao Huang
Publikováno v:
Remote Sensing, Vol 14, Iss 5, p 1160 (2022)
Urbanization inevitably poses a threat to urban ecology by altering its external structure and internal attributes. Nighttime light (NTL) has become increasingly extensive and practical, offering a special perspective on the world in revealing urbani
Externí odkaz:
https://doaj.org/article/2c70141832204a93a7fcb385adf8a522
Autor:
Xin Luo, Huaqiang Du, Guomo Zhou, Xuejian Li, Fangjie Mao, Di’en Zhu, Yanxin Xu, Meng Zhang, Shaobai He, Zihao Huang
Publikováno v:
Remote Sensing, Vol 13, Iss 11, p 2234 (2021)
An informative training set is necessary for ensuring the robust performance of the classification of very-high-resolution remote sensing (VHRRS) images, but labeling work is often difficult, expensive, and time-consuming. This makes active learning
Externí odkaz:
https://doaj.org/article/78bbf17f73a343428112a49fd9197b1a
Autor:
Hua Liu, Xuejian Li, Fangjie Mao, Meng Zhang, Di’en Zhu, Shaobai He, Zihao Huang, Huaqiang Du
Publikováno v:
Remote Sensing, Vol 13, Iss 5, p 913 (2021)
The subtropical vegetation plays an important role in maintaining the structure and function of global ecosystems, and its contribution to the global carbon balance are receiving increasing attention. The fractional vegetation cover (FVC) as an impor
Externí odkaz:
https://doaj.org/article/4217bb68ea0942a4b6ffecca4cf34104
Autor:
Zihao Huang, Huaqiang Du, Xuejian Li, Meng Zhang, Fangjie Mao, Di’en Zhu, Shaobai He, Hua Liu
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 12, p 718 (2020)
Simulating spatiotemporal land use and land cover change (LUCC) data precisely under future climate scenarios is an important basis for revealing the carbon cycle response of forest ecosystems to LUCC. In this paper, a coupling model consisting of a
Externí odkaz:
https://doaj.org/article/678d03cf55f74239886b4df60af2613d
Autor:
Shaobai He, Huaqiang Du, Guomo Zhou, Xuejian Li, Fangjie Mao, Di’en Zhu, Yanxin Xu, Meng Zhang, Zihao Huang, Hua Liu, Xin Luo
Publikováno v:
Remote Sensing, Vol 12, Iss 23, p 3928 (2020)
The application of deep learning techniques, especially deep convolutional neural networks (DCNNs), in the intelligent mapping of very high spatial resolution (VHSR) remote sensing images has drawn much attention in the remote sensing community. Howe
Externí odkaz:
https://doaj.org/article/27c78486e6db4fb58f0aab345d26ae49