Zobrazeno 1 - 10
of 19
pro vyhledávání: '"Mingyong Jiang"'
Autor:
Ningbo Guo, Mingyong Jiang, Decheng Wang, Xixuan Zhou, Zekao Song, Yinan Li, Lijing Gao, JianCheng Luo
Publikováno v:
International Journal of Digital Earth, Vol 17, Iss 1 (2024)
ABSTRACTScene classification for remote sensing image (RSI) of land use and land cover (LULC) involves identifying discriminative features of interest in different classes. Spurred by the powerful feature extraction capability of Convolutional Neural
Externí odkaz:
https://doaj.org/article/8440277e1355437d8e292bee5da974d3
Publikováno v:
Scientific Reports, Vol 14, Iss 1, Pp 1-9 (2024)
Abstract The problem of change detection in remote sensing image processing is both difficult and important. It is extensively used in a variety of sectors, including land resource planning, monitoring and forecasting of agricultural plant health, an
Externí odkaz:
https://doaj.org/article/29420b36d89d4dbe970337c19920043e
Publikováno v:
Sensors, Vol 24, Iss 20, p 6746 (2024)
Due to the small size of vehicle targets, complex background environments, and the discrete scattering characteristics of high-resolution synthetic aperture radar (SAR) images, existing deep learning networks face challenges in extracting high-qualit
Externí odkaz:
https://doaj.org/article/c248ee74540f462ca8282f296f2e74bc
Autor:
Ningbo Guo, Mingyong Jiang, Decheng Wang, Yutong Jia, Kaitao Li, Yanan Zhang, Mingdong Wang, Jiancheng Luo
Publikováno v:
Remote Sensing, Vol 16, Iss 18, p 3531 (2024)
Hyperspectral image (HSI) shows great potential for application in remote sensing due to its rich spectral information and fine spatial resolution. However, the high dimensionality, nonlinearity, and complex relationship between spectral and spatial
Externí odkaz:
https://doaj.org/article/198775d14842494cbb1d7891a453e501
Publikováno v:
Remote Sensing, Vol 16, Iss 17, p 3266 (2024)
Building segmentation has extensive research value and application prospects in high-resolution remote sensing image (HRSI) processing. However, complex architectural contexts, varied building morphologies, and non-building occlusions make building s
Externí odkaz:
https://doaj.org/article/10c96927908b4b279349c1cb054b9c07
Autor:
Ningbo Guo, Mingyong Jiang, Lijing Gao, Kaitao Li, Fengjie Zheng, Xiangning Chen, Mingdong Wang
Publikováno v:
Remote Sensing, Vol 15, Iss 20, p 5044 (2023)
Land-use scene classification (LUSC) is a key technique in the field of remote sensing imagery (RSI) interpretation. A convolutional neural network (CNN) is widely used for its ability to autonomously and efficiently extract deep semantic feature map
Externí odkaz:
https://doaj.org/article/5e51ddea7e714bdea7439e201b236ec8
Publikováno v:
Sensors, Vol 23, Iss 17, p 7514 (2023)
Remote sensing scene objective recognition (RSSOR) plays a serious application value in both military and civilian fields. Convolutional neural networks (CNNs) have greatly enhanced the improvement of intelligent objective recognition technology for
Externí odkaz:
https://doaj.org/article/32eb3d6ad89b4cf7b9406d53c425a95d
Publikováno v:
International Journal of Applied Earth Observations and Geoinformation, Vol 101, Iss , Pp 102348- (2021)
Change detection technology is an important key to analyze remote sensing data and is of great significance for accurate comprehension of the earth's surface changes. With the continuous development and progress of deep learning technology, fully con
Externí odkaz:
https://doaj.org/article/b673a28759ad41e7aac21e839a10580b
Publikováno v:
Recent Advances in Computer Science and Communications. 15:1106-1114
Mission planning is an integral process that enables earth observation missions and defines their success rate. This paper identifies key problems and opportunities in machine learning for earth observation satellite mission planning. Firstly, the de
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d4bd7d0f110d992c5252c3581d354640
https://doi.org/10.2174/2666255814666210422130145
https://doi.org/10.2174/2666255814666210422130145
Autor:
Nan Wu, Mingyong Jiang
Publikováno v:
AOPC 2022: Advanced Laser Technology and Applications.
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f7865ab6715ac137d3022bb473581bd9
https://doi.org/10.1117/12.2654750
https://doi.org/10.1117/12.2654750