Zobrazeno 1 - 10
of 71
pro vyhledávání: '"Zenan, Yang"'
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTIn the field of remote sensing, using a large amount of labeled image data to supervise the training of fully convolutional networks for the semantic segmentation of images is expensive. However, using a small amount of labeled data can lead
Externí odkaz:
https://doaj.org/article/3d3c51e951a24906a9e9a23ca39e225f
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTThis study aimed at alleviating the problems of unsatisfactory inversion accuracy and weak model stability in LAI remote sensing quantitative inversion. The properties and complex scattering mechanism of SAR data specify the polarization comb
Externí odkaz:
https://doaj.org/article/ec5e1551e92e48739a6d88f416838e94
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTLand use/cover change is a major cause of ecological degradation. Reliable LUCC data are essential for evaluating habitat quality. The current method of surface cover classification based on the convolutional neural networks (CNNs) is usually
Externí odkaz:
https://doaj.org/article/77b589640ef2437a9fc500ec0b75b6da
Publikováno v:
International Journal of Digital Earth, Vol 16, Iss 2, Pp 4385-4403 (2023)
The leaf area index (LAI) inversion accuracy of the water cloud model (WCM) based on the SAR images is low. The main reason is that the WCM model assumes two independent contributions from plant and soil surfaces, without taking into account their in
Externí odkaz:
https://doaj.org/article/a25f78c2684343a49204014618311eb9
Publikováno v:
Ecological Indicators, Vol 159, Iss , Pp 111657- (2024)
Global warming is a significant challenge, and carbon stocks in terrestrial ecosystems are crucial for reducing the greenhouse effect and increasing sinks. A study was conducted in Zhengzhou City from 2000 to 2020 using Landsat image spectral reflect
Externí odkaz:
https://doaj.org/article/a847280e85ed4673a804299b457c8dd4
Publikováno v:
Rice, Vol 16, Iss 1, Pp 1-15 (2023)
Abstract Starch is a carbon sink for most plants, and its biological role changes with response to the environment and during plant development. Disproportionating Enzyme 2 (DPE2) is a 4-α-glycosyltransferase involved in starch degradation in plants
Externí odkaz:
https://doaj.org/article/d9d4fc17f62d4e4b819f3b15bd0ac834
Publikováno v:
Aerospace, Vol 11, Iss 3, p 215 (2024)
A solid rocket motor (SRM) with a high aspect ratio that performs normally during ground tests may experience instability during flight. To address this issue, this study employs the pulse triggering method and the numerical approach of two-way fluid
Externí odkaz:
https://doaj.org/article/bbafba0643bb41aebfbc8a34b41989ca
Publikováno v:
Geocarto International, Vol 37, Iss 27, Pp 16307-16322 (2022)
AbstractThe leaf area index (LAI) is an important agroecological physiological parameter affecting vegetation growth and is an essential indicator for estimating crop growth. To apply the hybrid machine learning model to the remote sensing inversion
Externí odkaz:
https://doaj.org/article/7c1d8c34fdb142f68ffbca79bf2e3198
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 362-380 (2022)
The leaf area index (LAI) is an important agroecological physiological parameter affecting vegetation growth. To apply the genetic algorithms neural network model (GANNM) to the remote sensing inversion of winter wheat LAI throughout the growth cycle
Externí odkaz:
https://doaj.org/article/c895481696f344288284fbbb47fc75a6
Publikováno v:
International Journal of Digital Earth, Vol 15, Iss 1, Pp 1101-1124 (2022)
Super-pixel algorithms based on convolutional neural networks with fuzzy C-means clustering are widely used for high-spatial-resolution remote sensing images segmentation. However, this model requires the number of clusters to be set manually, result
Externí odkaz:
https://doaj.org/article/45a02a81335a4590a41ee6d308f2e7c1