Results 251 to 260 of about 4,054,189 (290)

MarShip-DET: A Frequency-Aware Multi-Scale Fusion Algorithm for Ship Detection in Maritime Remote Sensing Imagery. [PDF]

Sensors (Basel)
Chen K, Zhu X, Liu Z, Zhao F, Wang K.
europepmc   +1 more source

RS-CARES: Context-Aware Cross-Modal Alignment with Semantic Spatial Prior for Referring Remote Sensing Image Segmentation. [PDF]

J Imaging
Xiong H, Luo W, He B.
europepmc   +1 more source

PREDICT‐PD: A Two‐Stage Approach to Early Identification of Parkinson's Disease

Movement Disorders Clinical Practice, EarlyView.
Sasivimol Virameteekul, Sheena Waters, Brook Huxford, Ashvin Kuri, Manuela Tan, Laura Pérez‐Carbonell, Eduardo de Pablo‐Fernández, Anette Schrag, Alastair J. Noyce, Cristina Simonet   +9 more
wiley   +1 more source

Hybrid Sensor-Vision Machine Learning for Predicting Mahewu Fermentation Dynamics. [PDF]

J Food Sci
Adeleke I, Adebo OA, Nwulu N.
europepmc   +1 more source

A systematic review and evaluation framework for IoB-based adaptive health coaching systems. [PDF]

Front Digit Health
Prasad PWC, Hutabarat DP, Sayeed MS, Md Mohiuddin G.   +3 more
europepmc   +1 more source

DAAF: Dual-stream adaptive attention fusion with distribution alignment for remote sensing object detection. [PDF]

PLoS One
Zhou M, Zhou Y, Song K.
europepmc   +1 more source

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Multimodal Classification of Remote Sensing Images: A Review and Future Directions

Proceedings of the IEEE, 2015
Earth observation through remote sensing images allows the accurate characterization and identification of materials on the surface from space and airborne platforms. Multiple and heterogeneous image sources can be available for the same geographical region: multispectral, hyperspectral, radar, multitemporal, and multiangular images can today be ...
Gabriele Moser, Devis Tuia, Gustau Camps-Valls   +2 more
exaly   +3 more sources

A New Registration Algorithm for Multimodal Remote Sensing Images

IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium, 2018
Automatic registration of remote sensing images is a challenging problem in the applications of remote sensing. The multimodal remote sensing images have significant nonlinear radiometric differences, which lead to the failure of area-based and feature-based registration methods.
Xiao Ling, Yongjun Zhang
exaly   +3 more sources

Registration of Multimodal Remote Sensing Images Using Transfer Optimization

IEEE Geoscience and Remote Sensing Letters, 2020
Multimodal image registration is critical yet challenging for remote sensing image processing. Due to the large nonlinear intensity differences between the multimodal images, conventional search algorithms tend to get trapped into local optima when optimizing the transformation parameters by maximizing mutual information (MI).
Dejun Zhang, Bin Zhang, Yongjun Zhang
exaly   +3 more sources

Multimodal Remote Sensing Image Registration Based on Image Transfer and Local Features

IEEE Geoscience and Remote Sensing Letters, 2019
Automatic registration is still a challenging problem for multimodal remote sensing images including optical, light detection and ranging, synthetic aperture radar images, and so on. Due to the differences in imaging principles, the gray value, texture, and landscape characteristic of these images are different in the local area.
Wenping Ma, Yue Wu
exaly   +2 more sources