Results 281 to 290 of about 253,119 (310)

Contextual dynamic neural networks learning in multispectral images classification

IGARSS '96. 1996 International Geoscience and Remote Sensing Symposium, 2002
Various methods for integrating spatial contextual information in multispectral images classification have been developed during the last two decades. These methods have for a large part been of two main types: 1) Pre-classification neighborhood-based using spatial contextual correlation between adjacent pixels in the spectral space, 2) Postprocessing ...
B. Solaiman, M.C. Mouchot, A. Hillion
openaire   +1 more source

Partially supervised contextual classification of multitemporal remotely sensed images

IGARSS 2003. 2003 IEEE International Geoscience and Remote Sensing Symposium. Proceedings (IEEE Cat. No.03CH37477), 2004
A key-problem in dealing with multitemporal images of a given geographical area is the identification of the changes occurring between distinct acquisition dates. A complete map of the change typologies can be generated when training data are available for all observation dates, but this completely supervised context involves expensive requirements. On
DE MARTINO, MICHAELA, MACCHIAVELLO, GIORGIA, MOSER, GABRIELE, SERPICO, SEBASTIANO   +3 more
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Contextual Information Classification of Remotely Sensed Images

2023 6th International Conference on Pattern Recognition and Image Analysis (IPRIA), 2023
Alirza Dori, Hassan Ghassemian, Maryam Imani   +2 more
openaire   +1 more source

Contextual Classification Of Multiple Anatomical Tissues In Tomographic Images

Proceedings of the Annual International Conference of the IEEE Engineering in Medicine and Biology Society Volume 13: 1991, 2005
We present a process for the classification of anatomical tissues in tomographic images. Our process uses a contextual approach for tissue classification based on the idea that the true class of the pixels in an image can be estimated not only from their surrounding context, but also from the information of adjacent images.
M.E. Algorri, D.R. Haynor, null Yongmin Kim   +2 more
openaire   +1 more source

Contextual classification in image analysis: an assessment of accuracy of ICM

Computational Statistics & Data Analysis, 1999
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Arbia, Giuseppe, Benedetti, Roberto, Espa, Giuseppe   +2 more
openaire   +4 more sources

A Method of Contextual Data Fusion on Multisensor Image Classification

2006 International Conference on Machine Learning and Cybernetics, 2006
In this paper, a new classification method based on contextual data fusion is proposed. The method is suited for land-use classification of remotely sensed images of the same scene captured at different dates from multiple sources. It incorporates a priori information about the likelihood of changes between the acquisitions of the different images to ...
Hai-hui Wang, Yan-sheng Lu, Ai-ping Cai
openaire   +1 more source

Classification of Satellite Images Using Contextual Classifiers

12th Canadian Symposium on Remote Sensing Geoscience and Remote Sensing Symposium,, 2005
F.G. Alonso, S.L. Soria
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Sexual health among adolescent and young adult cancer survivors: A scoping review from the Children's Oncology Group Adolescent and Young Adult Oncology Discipline Committee

Ca-A Cancer Journal for Clinicians, 2021
Brooke Cherven, Sharon L Bober, Kristin M Bingen   +2 more
exaly  

Automated molecular-image cytometry and analysis in modern oncology

Nature Reviews Materials, 2020
Ralph Weissleder, Hakho Lee
exaly  

nnU-Net: a self-configuring method for deep learning-based biomedical image segmentation

Nature Methods, 2020
Fabian Isensee, Paul F Jaeger, Simon A A Kohl   +2 more
exaly