Zobrazeno 1 - 10
of 51
pro vyhledávání: '"Hongliang Guan"'
Publikováno v:
Frontiers in Plant Science, Vol 14 (2023)
Plant diseases and pests have always been major contributors to losses that occur in agriculture. Currently, the use of deep learning-based convolutional neural network models allows for the accurate identification of different types of plant disease
Externí odkaz:
https://doaj.org/article/cb890121555943598bc9abff519e6353
Autor:
Hongliang Guan
Publikováno v:
Journal of Mathematics, Vol 2023 (2023)
Aiming at the problem of secondary pollution of waters due to the difficulty of controlling the dosage of purifiers in the treatment of internal combustion engine pollution, a partial differential equation (referred to as PDE) constrained optimizatio
Externí odkaz:
https://doaj.org/article/70445889017e40f6bae369054f5fd8eb
Publikováno v:
You-qi chuyun, Vol 40, Iss 6, Pp 643-650 (2021)
According to the concept of intelligent pipeline network and the current status of pipeline enterprises, it was put forward that Digital Twin was the basic method and theoretical basis to realize the intelligent pipeline network. Thereby, based on th
Externí odkaz:
https://doaj.org/article/b1f212518ea74410b5717f2d732461ec
Publikováno v:
IEEE Access, Vol 8, Pp 228070-228087 (2020)
Change detection with very high resolution (VHR) satellite images is of great application values when evaluating and monitoring land use changes. However, intrinsic complexity of satellite images will introduce more difficulties to change detection t
Externí odkaz:
https://doaj.org/article/e080e81047af44f38a1d114cbb900b51
Publikováno v:
Remote Sensing, Vol 15, Iss 3, p 769 (2023)
The structure from motion (SfM) method has achieved great success in 3D sparse reconstruction, but it still faces serious challenges in large-scale scenes. Existing hybrid SfM methods usually do not fully consider the compactness between images and t
Externí odkaz:
https://doaj.org/article/3da41378ddfc49978c9f3c8f5b7eed73
Publikováno v:
Sensors, Vol 23, Iss 1, p 123 (2022)
Most of the traditional image feature point extraction and matching methods are based on a series of light properties of images. These light properties easily conflict with the distinguishability of the image features. The traditional light imaging m
Externí odkaz:
https://doaj.org/article/8f24766772ac46c3b4c897517e301051
Publikováno v:
Sensors, Vol 22, Iss 19, p 7411 (2022)
In the light field image saliency detection task, redundant cues are introduced due to computational methods. Inevitably, it leads to the inaccurate boundary segmentation of detection results and the problem of the chain block effect. To tackle this
Externí odkaz:
https://doaj.org/article/8649cf453e1f491384420d5a0cbfd5a4
Publikováno v:
Remote Sensing, Vol 14, Iss 16, p 4034 (2022)
This paper proposes an endmember matrix constraint unmixing method for ZY-1 02D hyperspectral imagery (HSI) super-resolution reconstruction (SRR) to overcome the low resolution of ZY-1 02D HSI. The proposed method combines spectral unmixing and adds
Externí odkaz:
https://doaj.org/article/f6387146319f42c6a03312bd581eb182
Publikováno v:
Sensors, Vol 21, Iss 16, p 5556 (2021)
Garlic is one of the main economic crops in China. Accurate and timely extraction of the garlic planting area is critical for adjusting the agricultural planting structure and implementing rural policy actions. Crop extraction methods based on remote
Externí odkaz:
https://doaj.org/article/808eefb47c874f259b4596af3c7d84db
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 7, Iss 2, p 42 (2018)
Detecting and extracting the change types of spatial area objects can track area objects’ spatiotemporal change pattern and provide the change backtracking mechanism for incrementally updating spatial datasets. To respond to the problems of high co
Externí odkaz:
https://doaj.org/article/aa78184935f74e1a9f15d63c1d9a922f