Results 51 to 60 of about 509,921 (183)

Correction of "Cloud Removal By Fusing Multi-Source and Multi-Temporal Images"

, 2017
Remote sensing images often suffer from cloud cover. Cloud removal is required in many applications of remote sensing images. Multitemporal-based methods are popular and effective to cope with thick clouds.
Cheng, Qing, Li, Xinghua, Li, Zhiwei, Shen, Huanfeng, Zhang, Chengyue   +4 more
core   +1 more source

Image Fusion via Sparse Regularization with Non-Convex Penalties

, 2020
The L1 norm regularized least squares method is often used for finding sparse approximate solutions and is widely used in 1-D signal restoration. Basis pursuit denoising (BPD) performs noise reduction in this way.
Achim, Alin, Anantrasirichai, Nantheera, Selesnick, Ivan, Zheng, Rencheng   +3 more
core   +1 more source

Deep Learning for Fusion of APEX Hyperspectral and Full-Waveform LiDAR Remote Sensing Data for Tree Species Mapping

IEEE Access, 2018
Deep learning has been widely used to fuse multi-sensor data for classification. However, current deep learning architecture for multi-sensor data fusion might not always perform better than single data source, especially for the fusion of hyperspectral ...
Wenzhi Liao, Frieke Van Coillie, Lianru Gao, Liwei Li, Bing Zhang, Jocelyn Chanussot   +5 more
doaj   +1 more source

Multi-source Heterogeneous Data Fusion for Toxin Level Quantification

IFAC-PapersOnLine, 2021
Abstract The operational management of wastewater treatment plants (WWTP) is a complex activity due to the biological phenomena’ intricate nature. This complexity hinders the adoption of first principles approaches, which lack the necessary accuracy to be adopted in practice.
Eugeniu Strelet, Zhenyu Wang, You Peng, Ivan Castillo, Ricardo Rendall, Bea Braun, Mark Joswiak, Leo Chiang, Marco S. Reis   +8 more
openaire   +1 more source

Multi-source Heterogeneous Data Progressive Fusion for Fake News Detection [PDF]

Jisuanji kexue
Social media platforms are inundated with a vast amount of unverified information,much of which originates from he-terogeneous data from multi-source,which spreads so widely and quickly that it poses a significant threat to individuals and society ...
YU Yongxin, JI Ke, GAO Yuan, CHEN Zhenxiang, MA Kun, ZHAO Xiaofan
doaj   +1 more source

Probabilistic Surfel Fusion for Dense LiDAR Mapping

, 2017
With the recent development of high-end LiDARs, more and more systems are able to continuously map the environment while moving and producing spatially redundant information.
Fookes, Clinton, Kim, Soohwan, Moghadam, Peyman, Park, Chanoh, Sridharan, Sridha   +4 more
core   +1 more source

Context Aware Multisensor Image Fusion for Military Sensor Networks using Multi Agent System

, 2011
This paper proposes a Context Aware Agent based Military Sensor Network (CAMSN) to form an improved infrastructure for multi-sensor image fusion. It considers contexts driven by a node and sink.
Manvi, Sunilkumar S, Sutagundar, Ashok V
core   +1 more source

Information Fusion for Multi-Source Material Data: Progress and Challenges

Applied Sciences, 2019
The development of material science in the manufacturing industry has resulted in a huge amount of material data, which are often from different sources and vary in data format and semantics.
Jingren Zhou, Xin Hong, Peiquan Jin
doaj   +1 more source

Interpretable multi-source data fusion through Latent Variable Gaussian Process

Engineering Applications of Artificial Intelligence
With the advent of artificial intelligence and machine learning, various domains of science and engineering communities have leveraged data-driven surrogates to model complex systems through fusing numerous sources of information (data) from published papers, patents, open repositories, or other resources.
Sandipp Krishnan Ravi, Yigitcan Comlek, Arjun Pathak, Vipul Gupta, Rajnikant Umretiya, Andrew Hoffman, Ghanshyam Pilania, Piyush Pandita, Sayan Ghosh, Nathaniel Mckeever, Wei Chen, Liping Wang   +11 more
openaire   +2 more sources

Ontology and Weighted D-S Evidence Theory-Based Vulnerability Data Fusion Method [PDF]

Journal of Universal Computer Science, 2019
With the rapid development of high-speed and large-scale complex network, network vulnerability data presents the characteristics of massive, multi-source and heterogeneous, which makes data fusion become more complex.
Xiaoling Tao, Liyan Liu, Feng Zhao, Yan Huang, Saide Zhu   +4 more
doaj   +3 more sources