Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Jing Zhao"'
Publikováno v:
Remote Sensing, Vol 16, Iss 13, p 2354 (2024)
Estimating city–scale emissions using gridded inventories lacks direct, precise measurements, resulting in significant uncertainty. A Kalman filter integrates diverse, uncertain information sources to deliver a reliable, accurate estimate of the tr
Externí odkaz:
https://doaj.org/article/d6d859cb712244a38121d416648d4b8e
Publikováno v:
Remote Sensing, Vol 16, Iss 11, p 1968 (2024)
Indoor localization has long been a challenging task due to the complexity and dynamism of indoor environments. This paper proposes ULG-SLAM, a novel unsupervised learning and geometric-based visual SLAM algorithm for robot localizability estimation
Externí odkaz:
https://doaj.org/article/0fbc2cdae2ca4119b78a969cf8879123
Autor:
Tianjia Chu, Jing Li, Jing Zhao, Chenpeng Gu, Faisal Mumtaz, Yadong Dong, Hu Zhang, Qinhuo Liu
Publikováno v:
Remote Sensing, Vol 16, Iss 3, p 479 (2024)
Chlorophyll is a vital indicator of vegetation growth; exploring its relationship with external influencing factors is essential for studies such as chlorophyll remote sensing retrieval and vegetation growth monitoring. However, there has been limite
Externí odkaz:
https://doaj.org/article/549e37fb56fc4567a9c39e2cd041a1d9
Publikováno v:
Remote Sensing, Vol 15, Iss 19, p 4852 (2023)
The air temperature changes in the Palu MW7.5 earthquake in Indonesia on 28 September 2018 were analyzed, based on the additive tectonic stress caused by celestial tidal-generating forces (ATSCTF) and air temperature data from the National Center for
Externí odkaz:
https://doaj.org/article/b2cf53dfa7f44c8dbe26c7324c04562b
Autor:
Chang Liu, Jing Li, Qinhuo Liu, Baodong Xu, Yadong Dong, Jing Zhao, Faisal Mumtaz, Chenpeng Gu, Hu Zhang
Publikováno v:
Remote Sensing, Vol 15, Iss 5, p 1337 (2023)
Spatial land surface heterogeneities are widespread at various scales and represent a great challenge to leaf area index (LAI) retrievals and product validations. In this paper, considering the mixed water and vegetation pixels prevalent at moderate
Externí odkaz:
https://doaj.org/article/e709eced2ccb4245891e8f5392d389be
Autor:
Faisal Mumtaz, Jing Li, Qinhuo Liu, Aqil Tariq, Arfan Arshad, Yadong Dong, Jing Zhao, Barjeece Bashir, Hu Zhang, Chenpeng Gu, Chang Liu
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 859 (2023)
Global land cover dynamics alter energy, water, and greenhouse gas exchange between land and atmosphere, affecting local to global weather and climate change. Although reforestation can provide localized cooling, ongoing land use land cover (LULC) sh
Externí odkaz:
https://doaj.org/article/0c53f322915042789c5b41173d7caf25
Autor:
Qiang Zhang, Yongguang Zhao, Lei Zhang, Jiaqi Wu, Wan Li, Jun Yan, Xiaohua Jiang, Zhiyu Yan, Jing Zhao
Publikováno v:
Remote Sensing, Vol 14, Iss 19, p 4720 (2022)
The stability and accuracy of the on-orbit radiometric calibration of hyperspectral sensors are prerequisites for the quantitative application of satellite hyperspectral data. The Zhuhai-1 micro-nano satellite constellation is composed of eight hyper
Externí odkaz:
https://doaj.org/article/202c796ff8f94799a173aec3f4f8e6a7
Publikováno v:
Remote Sensing, Vol 14, Iss 15, p 3720 (2022)
The majority of planning algorithms used are based on the occupancy grid maps, but in complicated situations, the occupancy grid maps have a significant search overhead. This paper proposed a path planner based on the visibility graph (v-graph) for t
Externí odkaz:
https://doaj.org/article/4157a70daba744c192b95881e74521fd
Publikováno v:
Remote Sensing, Vol 14, Iss 12, p 2824 (2022)
The ecological environment is the basis of human survival and development. Effective methods to monitor the ecological environment are essential for the healthy development of human settlements. At present, methods based on remote sensing images and
Externí odkaz:
https://doaj.org/article/e8eaf89859ba4943852df3365d48b5bd
Publikováno v:
Remote Sensing, Vol 14, Iss 2, p 363 (2022)
In arid and semi-arid areas, timely and effective monitoring and mapping of salt-affected areas is essential to prevent land degradation and to achieve sustainable soil management. The main objective of this study is to make full use of synthetic ape
Externí odkaz:
https://doaj.org/article/c86d5c532bf74350a3c706942ec7f467