Zobrazeno 1 - 10
of 46
pro vyhledávání: '"Shaoda Li"'
Publikováno v:
Ecological Indicators, Vol 161, Iss , Pp 111969- (2024)
As the fourth pole of China's economic growth, the Chengdu-Chongqing urban agglomeration plays a significant role in reinforcing the ecological barrier in the upper reaches of the Yangtze River, and is crucial for ecological and environmental protect
Externí odkaz:
https://doaj.org/article/6d19d35e4d3e48ca9a66cc584f90fd8e
Autor:
Xiao Wang, Di Wang, Xinyue Li, Mengmeng Zhang, Sizhi Cheng, Shaoda Li, Jianhui Dong, Luting Xu, Tiegang Sun, Weile Li, Peilian Ran, Liang Liu, Baojie Wang, Ling Zhao, Xinyi Huang
Publikováno v:
Remote Sensing, Vol 16, Iss 2, p 347 (2024)
Considering the great time and labor consumption involved in conventional hazard assessment methods in compiling landslide inventory, the construction of a transferable landslide susceptibility prediction model is crucial. This study employs UAV imag
Externí odkaz:
https://doaj.org/article/38216c74a75446afb0ad2d952058211d
Autor:
Xiao Wang, Di Wang, Tiegang Sun, Jianhui Dong, Luting Xu, Weile Li, Shaoda Li, Peilian Ran, Jinxi Ao, Yulan Zou, Jing Wang, Xinnian Zeng
Publikováno v:
Remote Sensing, Vol 15, Iss 21, p 5213 (2023)
Currently, the application of remote sensing technology in landslide identification and investigation is an important research direction in the field of landslides. To address the errors arising from the inaccurate extraction of texture and location
Externí odkaz:
https://doaj.org/article/93cd46c9f0ab454bb9ec1a948750520d
Publikováno v:
Forests, Vol 14, Iss 7, p 1418 (2023)
Forests are facing various threats, such as drought, in the context of global climate change. Canopy water content (CWC) is a crucial indicator of forest water stress, mortality, and fire monitoring. However, previous studies on CWC have not adequate
Externí odkaz:
https://doaj.org/article/c2c4a8df8ff8473689ca7530a1edb5cc
Autor:
Jie Tang, Junxiang Tan, Yongyong Du, Haojie Zhao, Shaoda Li, Ronghao Yang, Tao Zhang, Qitao Li
Publikováno v:
Remote Sensing, Vol 15, Iss 13, p 3339 (2023)
Insulator extraction from images or 3D point clouds is an important part of automatic power inspection by unmanned airborne vehicles (UAVs), which is vital for improving the efficiency of inspection and the stability of power grids. However, for poin
Externí odkaz:
https://doaj.org/article/26adec4f1fe84238bc3ab67ec41cba91
Publikováno v:
Water, Vol 15, Iss 7, p 1398 (2023)
Remote sensing is widely used for lake-water-quality monitoring, but the inversion of the total nitrogen (TN) and total phosphorus (TP) of rivers and non-optical parameters is still a difficult problem. The use of high spatial and temporal resolution
Externí odkaz:
https://doaj.org/article/8396b339b8e94cda8a042736b0f65520
Autor:
Di Wang, Ronghao Yang, Hanhu Liu, Haiqing He, Junxiang Tan, Shaoda Li, Yichun Qiao, Kangqi Tang, Xiao Wang
Publikováno v:
Remote Sensing, Vol 14, Iss 17, p 4244 (2022)
Landcover classification is an important application in remote sensing, but it is always a challenge to distinguish different features with similar characteristics or large-scale differences. Some deep learning networks, such as UperNet, PSPNet, and
Externí odkaz:
https://doaj.org/article/d252ba90b649441e8ce2ed6b95e26cc7
Publikováno v:
Remote Sensing, Vol 13, Iss 17, p 3446 (2021)
Power-line inspection is an important means to maintain the safety of power networks. Light detection and ranging (LiDAR) technology can provide high-precision 3D information about power corridors for automated power-line inspection, so there are mor
Externí odkaz:
https://doaj.org/article/72891d213b7f4cc4a586b20b34f7b4fd
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 9, Iss 10, p 608 (2020)
Road markings that provide instructions for unmanned driving are important elements in high-precision maps. In road information collection technology, multi-beam mobile LiDAR scanning (MLS) is currently adopted instead of traditional mono-beam LiDAR
Externí odkaz:
https://doaj.org/article/740cdddc61b44317891455ca41bd62eb
Autor:
Li, Jie Tang, Junxiang Tan, Yongyong Du, Haojie Zhao, Shaoda Li, Ronghao Yang, Tao Zhang, Qitao
Publikováno v:
Remote Sensing; Volume 15; Issue 13; Pages: 3339
Insulator extraction from images or 3D point clouds is an important part of automatic power inspection by unmanned airborne vehicles (UAVs), which is vital for improving the efficiency of inspection and the stability of power grids. However, for poin