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Fusing Uncertain Structured Spatial Information
[chapter]
2008
Lecture Notes in Computer Science
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Spatial information associates properties to labeled areas. Space is partitioned into (elementary) parcels, and union of parcels constitute areas. ...
In fusion problems, information coming from distinct sources may be expressed in terms of different conceptual and/or spatial ontologies, and may be pervaded with uncertainty. ...
Spatial information may involve a mix of numeric and symbolic attributes, using different vocabularies more or less structured, but rarely unstructured. ...
doi:10.1007/978-3-540-87993-0_15
fatcat:2tygkgbtzvdxto73kkxmappalq
Multi-phase Liver Tumor Segmentation with Spatial Aggregation and Uncertain Region Inpainting
[article]
2021
arXiv
pre-print
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In this work, we propose a novel LiTS method to adequately aggregate multi-phase information and refine uncertain region segmentation. ...
To this end, we introduce a spatial aggregation module (SAM), which encourages per-pixel interactions between different phases, to make full use of cross-phase information. ...
It is seen that adding multi-phase information donates a performance boost of +6.46% in DPC; employing SAM modules to fuse features improves the performance by +3.79% in DPC; refining uncertain regions ...
arXiv:2108.00911v2
fatcat:kbiklrj7ebdzvm6bjk4dy5avt4
Finer Classification of Crops by Fusing UAV Images and Sentinel-2A Data
2019
Remote Sensing
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Accurate crop distribution maps provide important information for crop censuses, yield monitoring and agricultural insurance assessments. ...
In addition, we test the effect of UAV image choice by fusing Sentinel-2A with different UAV images at multiples spatial resolutions: 0.03 m, 0.10 m, 0.50 m, 1.00 m and 3.00 m. ...
We made a test to classify the crops with 0.10 m fused image using Random Forest, Support Vector Machine and Neural Net. ...
doi:10.3390/rs11243012
fatcat:y4gsh5qzejckda45kisomarc4e
Hierarchical Disentangling Network for Building Extraction from Very High Resolution Optical Remote Sensing Imagery
2022
Remote Sensing
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Additionally, with the spatial resolution of images increasing, there are diverse interior details and redundant context information present in building and background areas. ...
However, buildings in different environments exhibit various scales, complicated spatial distributions, and different imaging conditions. ...
Informed Consent Statement: Not applicable.
Data Availability Statement: The datasets presented in this study are openly available in References [5, 6] . ...
doi:10.3390/rs14071767
fatcat:muyvrddcf5eknp4msoivlldbui
Understanding uncertain information in vocal description for creating virtual spatial maps
2019
Paladyn: Journal of Behavioral Robotics
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", "close"to describe about spatial information. ...
The Virtual Spatial Data Identifier (VSDI) and Uncertain Term Identifier (UTI) modules have been introduced in order to evaluate the spatial information in description to create a virtual map. ...
The problem of fusing information contained in natural language descriptions with the robot's onboard sensors to construct spatial-semantic representations useful for in-teracting with humans has been ...
doi:10.1515/pjbr-2019-0032
fatcat:gmg3jbnrvfapllkcdplgmorteu
Perception enhancement using importance-driven hybrid rendering for augmented reality based endoscopic surgical navigation
2018
Biomedical Optics Express
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First, the volume structures are enhanced using gradient-based shading to reduce the color information in low-priority regions and improve the distinctions between complicated structures. ...
Misleading depth perception may greatly affect the correct identification of complex structures in image-guided surgery. ...
By combining the pixels of the endoscopic image with the hybrid rendering scene, we can highlight the spatial information and remove redundant structures. ...
doi:10.1364/boe.9.005205
pmid:30460123
pmcid:PMC6238941
fatcat:biiirgubvzgzhpjuhtiqn5weoy
How to manage natural risks in mountain areas in a context of imperfect information? New frameworks and paradigms for expert assessments and decision-making
2014
Environment Systems and Decisions
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Tracing the information and propagating information quality from data acquisition to decisions are therefore important steps in the decision-making process. ...
Risk management decisions are therefore based on imperfect information. ...
Decision support tools are needed to take into account both their structural state and Fig. 28 CLPA spatial zones including quality information (Tacnet et al. 2013 ) Fig. 27 Traceability of the expert ...
doi:10.1007/s10669-014-9501-x
fatcat:qjs5gzxkgrgw5ne5xa7oytd67a
Intrinsic image decomposition-based grey and pseudo-color medical image fusion
2019
IEEE Access
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As for the image fusion rule, the defined importance of image coefficients is used to combine the decomposed two-scale components to produce the final fused image, which could keep more spatial resolution ...
Algorithm 1 could extract structural information while reducing the noise from the MRI image. Algorithm 2 is for averaging the color information from the PET image. ...
On the other side, the smaller σ means the more spatial detail information of the structural information. The scale factor is used to balance structural information and white matter. ...
doi:10.1109/access.2019.2900483
fatcat:cjq6oazrmzbxpd5xxbmryeup5u
Satellite image fusion using fuzzy logic
2016
Acta Universitatis Sapientiae: Informatica
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Conventional fusion methods are having some side effects like assertive spatial information and uncertain color information is an usually the problem in PCA and wavelet transform based fusion is a computationally ...
images obtained from different sensors to enhance both spectral and spatial information. ...
image and IBF is the mutual information between PAN image and fused image. ...
doi:10.1515/ausi-2016-0011
fatcat:z74nkp2cw5h5rm6xag2n56mpoe
Performance assessment of neuro fuzzy based image fusion of satellite images
2018
International Journal of Advanced Technology and Engineering Exploration
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structures. ...
IQI value should be high for better fused image indicates that quality of fused image is improved through fused image.
7.2Mutual information measure Mutual information measure (MIM) delivers the quantity ...
doi:10.19101/ijatee.2018.539005
fatcat:kwyymzqhdrd3xhltlavqzroyri
VTG-Net: A CNN Based Vessel Topology Graph Network for Retinal Artery/Vein Classification
2021
Frontiers in Medicine
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The final predication is attained by fusing the CNN and GCN outputs. ...
In this paper, we propose a new CNN based framework, VTG-Net (vessel topology graph network), for retinal A/V classification by incorporating vessel topology information. ...
Each filter extracts information from a fixed size spatial input neighborhood [the receptive field (14) ] and propagates it to the output. ...
doi:10.3389/fmed.2021.750396
fatcat:lamylmtfabbxzgkwin47yiiblu
Spatial-temporal business partnership selection in uncertain environments
2015
FME Transaction
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Further, SMEs are finding it increasingly difficult to include all required competences in their internal structures; therefore, they need to rely on reliable business and supplier partnerships to be successful ...
Contemporary business models need to account for spatial-temporal changeable environments, where lack of confidence and uncertainty in data are a reality. ...
Hence, in this paper we discuss how to tackle spatial-temporal decision making in uncertain environments. ...
doi:10.5937/fmet1504353a
fatcat:uow56jkamrcvbcptokyn5ruxru
A Review:Image Fusion Techniques for Multisensor Images
English
2015
International Journal of Advanced Research in Electrical, Electronics and Instrumentation Engineering
English
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advanced sensor technology.To avoid the limitations of single sensor images, multisensory image fusion provides the data that is suitable for further applications by eliminating the problem of lack of information ...
Moreover, it reduces the redundancy and uncertain information. The pre-processing steps of image fusion are shown in Fig.1 . ...
Spatial information in multi sensor images is represented by the fuzzy sets. When the membership functions and the fusion rules are applied properly a good quality fused image can be obtained. ...
doi:10.15662/ijareeie.2015.0401049
fatcat:gdgbonmbvnevdjeenkzbyb3mia
A Survey on Image Fusion Requirements, Techniques, Evaluation Metrics, and Its Applications
2018
International Journal of Engineering & Technology
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In image fusion the images are fused at different levels of images like pixel, feature and decision level. ...
Fusion refers to combining two or more distinct things, the main objective of employing fusion is to generate results that provides the most detailed, reliable and accurate information possible. ...
And also decreases uncertain information and reduce repeated information. ...
doi:10.14419/ijet.v7i2.20.14774
fatcat:3qtwgi6psba7jgachm4gip2qee
HYPERSPECTRAL IMAGES CLASSIFICATION BASED ON FUSION FEATURES DERIVED FROM 1D AND 2D CONVOLUTIONAL NEURAL NETWORK
2020
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
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The spectral and spatial features of hyperspectral images are fully exploited, thus getting state-of-the-art classification accuracy and generalization performance. ...
Since features fusion model inherits the structural characteristics of 1D-CNN and 2DCNN, the complementary advantages between the models are achieved. ...
In this paper, 1D-CNN and 2D-CNN are used as feature extractors to extract spectral and spatial features respectively, and then, spectral and spatial features were fused for classification. ...
doi:10.5194/isprs-archives-xlii-3-w10-335-2020
fatcat:jwjnknr46ffuxfjbwv5wsrzf7m
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