Zobrazeno 1 - 10
of 320
pro vyhledávání: '"QiMing Qin"'
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 1, Pp 2681-2703 (2023)
Automatic extraction of tailing ponds from Very High-Resolution (VHR) remotely sensed images is vital for mineral resource management. This study proposes a Pseudo-Siamese Visual Geometry Group Encoder-Decoder network (PSVED) to achieve high accuracy
Externí odkaz:
https://doaj.org/article/42afffdb577f4abf90eb616e735cd820
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 4051-4062 (2021)
Soil moisture (SM) downscaling has been extensively investigated in recent years to improve coarse resolution of SM products. However, available methods for downscaling are generally based on pixel-to-pixel strategy, which ignores the information amo
Externí odkaz:
https://doaj.org/article/0f5cd82769964e618819347174a021e1
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 2113-2126 (2021)
The occurrence of drought is a complex process and is caused by the interaction of multiple drought-causing factors. The construction of traditional drought models and indexes seldom considers multiple drought-causing factors. This study integrated t
Externí odkaz:
https://doaj.org/article/e05d21458d724c9d8ca2b61090c9a718
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 14, Pp 775-790 (2021)
Drought is a frequent global phenomenon that has the most significant influence on agriculture. Solar-induced chlorophyll fluorescence (SIF) is a by-product of photosynthesis that can be used to monitor vegetation growth and agricultural drought. Thi
Externí odkaz:
https://doaj.org/article/cff69ff3afd246c5b3038661abf5ae8c
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 13, Pp 4748-4759 (2020)
This article proposes a global prototypical network (GPN) to solve the problem of hyperspectral image classification using limited supervised samples (i.e., few-shot problem). In the proposed method, a strategy of global representation learning is ad
Externí odkaz:
https://doaj.org/article/8d7c4f7f03a4429087cb6e590b73d9e0
Autor:
Nan Wang, Qiming Qin
Publikováno v:
Minerals, Vol 12, Iss 6, p 680 (2022)
As an environmentally friendly and high-calorific natural gas, coalbed methane (CBM) has become one of the world’s most crucial unconventional energy sources. Undoubtedly, it is necessary to conduct in-depth research on reservoir exploration method
Externí odkaz:
https://doaj.org/article/ce5cebc276a243f28f7a40ece32bf39c
Publikováno v:
Remote Sensing, Vol 14, Iss 8, p 1802 (2022)
The Landsat time-series dataset is one of the most widely used datasets for land surface research due to its long time-series and Land Surface Reflectance (LSR) product. Though the United States Geological Survey (USGS) provides Landsat LSR products
Externí odkaz:
https://doaj.org/article/be9568c34c084d788de6fd5da33d85bf
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 11, Iss 5, Pp 1472-1481 (2018)
High-accuracy retrieval of the crop leaf area index (LAI) in farmlands via remote sensing is the premise of reflecting the true growth condition of the crop. This paper aimed at scaling correction of LAI retrieval and developed an LAI scaling transfe
Externí odkaz:
https://doaj.org/article/9d351598c48c4a9bbbdbf89929a57fc3
Autor:
Qiming Qin, Zihua Wu, Tianyuan Zhang, Vasit Sagan, Zhaoxu Zhang, Yao Zhang, Chengye Zhang, Huazhong Ren, Yuanheng Sun, Wei Xu, Cong Zhao
Publikováno v:
Remote Sensing, Vol 13, Iss 24, p 5092 (2021)
By effectively observing the land surface and obtaining farmland conditions, satellite remote sensing has played an essential role in agricultural drought monitoring over past decades. Among all remote sensing techniques, optical and thermal remote s
Externí odkaz:
https://doaj.org/article/859c81906eee4687a95d3fa3c91a94ec
Publikováno v:
Remote Sensing, Vol 12, Iss 9, p 1416 (2020)
This study analyzed changes in nighttime light during the 2019 Spring Festival using Luojia 1-01 nighttime images in six western cities of China (Chengdu, Panzhihua, Kunming, Yuxi, Lhasa, and Jinchang). First, the radiance of the nighttime images was
Externí odkaz:
https://doaj.org/article/350bffdbf14a4860993b7a45a6af3473