Zobrazeno 1 - 10
of 179
pro vyhledávání: '"Changming Zhu"'
Autor:
Hui Zhang, Wei Liu, Changming Zhu, Hao Niu, Pengcheng Yin, Shiling Dong, Jialin Wu, Erzhu Li, Lianpeng Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 17, Pp 18474-18488 (2024)
The conversion of agricultural lands, termed “nonagriculturalization,” poses profound threats to food security and ecological stability. Remote sensing image change detection offers an invaluable tool for monitoring this phenomenon. However, most
Externí odkaz:
https://doaj.org/article/9645bb07a86849b7bf7fcd15b85555d3
Publikováno v:
ISPRS International Journal of Geo-Information, Vol 13, Iss 10, p 370 (2024)
The collaborative use of camera near-field sensors for monitoring the number and status of tourists is a crucial aspect of smart scenic spot management. This paper proposes a near-field perception technical system that achieves dynamic and accurate d
Externí odkaz:
https://doaj.org/article/eb64476364884003a5c0497068190a48
Publikováno v:
Entropy, Vol 26, Iss 6, p 470 (2024)
Multi-view clustering requires simultaneous attention to both consistency and the diversity of information between views. Deep learning techniques have shown impressive abilities to learn complex features when working with extensive datasets; however
Externí odkaz:
https://doaj.org/article/363cbc8973e74767be3679a7f04814dc
Publikováno v:
Scientific Reports, Vol 12, Iss 1, Pp 1-9 (2022)
Abstract The ternary RMn2Ge2 (R = rare earth) intermetallic compounds have attracted great attention due to their interesting magnetic behaviors and magnetotransport responses. Here, we reported our observation of anisotropic magnetic property, magne
Externí odkaz:
https://doaj.org/article/fae7a781ccc244ff8ee640ab7a1d27f2
Autor:
Jiacheng Shi, Wei Liu, Yihu Zhu, Shengli Wang, Sibao Hao, Changming Zhu, Haoyu Shan, Erzhu Li, Xing Li, Lianpeng Zhang
Publikováno v:
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, Vol 15, Pp 4094-4103 (2022)
Remote sensing (RS) image change detection analyzes and determines the difference of surface states at different times. Polygons are common vector data to express the surface states in geographic information systems. However, the production and updat
Externí odkaz:
https://doaj.org/article/6eecc63623fe4da3bd0bd136db66f9df
Publikováno v:
Frontiers in Ecology and Evolution, Vol 10 (2022)
The Ecological Environment Quality (EEQ) is an important foundation for the sustainable development of society and economy. To assess the spatiotemporal changes of the EEQ in the Yangtze River Delta Urban Agglomeration (YRDUA), we selected MODIS imag
Externí odkaz:
https://doaj.org/article/6e4f0412dbf24b1687889bab80518261
Publikováno v:
Remote Sensing, Vol 15, Iss 15, p 3916 (2023)
Ship classification, as an important problem in the field of computer vision, has been the focus of research for various algorithms over the past few decades. In particular, convolutional neural networks (CNNs) have become one of the most popular mod
Externí odkaz:
https://doaj.org/article/bf90703cf4074d0887ad39b987031199
Publikováno v:
Remote Sensing, Vol 15, Iss 8, p 2172 (2023)
The satellite-based Aerosol Optical Depth (AOD) retrieval algorithms are generally needed to construct Land Surface Reflectance (LSR) database. However, errors are unavoidable due to the surface complexity, especially for the short observation period
Externí odkaz:
https://doaj.org/article/d92ee99aa25c4b8dbb0bfb6dd09646b9
Autor:
Fengzhen Lv, Kang Ling, Tingting Zhong, Fuchi Liu, Xiaoguang Liang, Changming Zhu, Jun Liu, Wenjie Kong
Publikováno v:
Nanoscale Research Letters, Vol 15, Iss 1, Pp 1-8 (2020)
Abstract High-quality CH3NH3PbI 3−x Cl x (MAPIC) films were prepared using potassium chloride (KCl) as an additive on indium tin oxide (ITO)-coated glass substrates using a simple one-step and low-temperature solution reaction. The Au/KCl-MAPIC/ITO
Externí odkaz:
https://doaj.org/article/7da9c71051c943e08c801f3cdf6b9c5a
Publikováno v:
Remote Sensing, Vol 15, Iss 2, p 323 (2023)
Net ecosystem productivity (NEP) is an important indicator for estimating regional carbon sources/sinks. The study focuses on a comprehensive computational simulation and spatiotemporal variation study of the NEP in the Yellow River basin from 2000 t
Externí odkaz:
https://doaj.org/article/a607b4034cf84428af1086d0581a377c