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Confluence satellite image classification [PDF]
Acta Scientiarum Polonorum. Formatio Circumiectus, 2017 A confluence is defined as a meeting point where two or more rivers merge to become the source for a new river. This river merge adjusts its geometric parameters depending of the characteristics of its confluent rivers, particularly wide and intersection
Jorge Osvaldo Castillo-Pereyra +2 more
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Vehicle image datasets for image classification
Data in BriefVehicle image recognition is a critical research area with diverse traffic management, surveillance, and autonomous driving systems applications. Accurately classifying and identifying vehicles from images play a crucial role in these domains.
Narong Boonsirisumpun +2 more
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Vectorial Image Representation for Image Classification
Journal of ImagingThis paper proposes the transformation S→C→, where S is a digital gray-level image and C→ is a vector expressed through the textural space. The proposed transformation is denominated Vectorial Image Representation on the Texture Space (VIR-TS), given ...
Maria-Eugenia Sánchez-Morales +5 more
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Creating Deep Convolutional Neural Networks for Image Classification
The Programming Historian, 2023 This lesson provides a beginner-friendly introduction to convolutional neural networks (CNNs) for image classification. The tutorial provides a conceptual understanding of how neural networks work by using Google’s Teachable Machine to train a model on ...
Nabeel Siddiqui
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Introducing Image Classification Efficacies
IEEE Access, 2021 Accuracy assessment is essential in all image classification-related fields, ranging from molecular imaging to earth observation. However, existing accuracy metrics are too sensitive to class imbalance or lack explicit interpretations for assessing ...
Guofan Shao, Lina Tang, Hao Zhang
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A novel CapsNet neural network based on MobileNetV2 structure for robot image classification
Frontiers in Neurorobotics, 2022 Image classification indicates that it classifies the images into a certain category according to the information in the image. Therefore, extracting image feature information is an important research content in image classification.
Jingsi Zhang +3 more
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EFFECT OF PANSHARPENED IMAGE ON SOME OF PIXEL BASED AND OBJECT BASED CLASSIFICATION ACCURACY [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 Classification is the most important method to determine type of crop contained in a region for agricultural planning. There are two types of the classification. First is pixel based and the other is object based classification method.
P. Karakus, H. Karabork
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IMAGE QUATY ASSESSMENT FOR VHR REMOTE SENSING IMAGE CLASSIFICATION [PDF]
The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2016 The data from remote sensing images are widely used for characterizing land use and land cover at present. With the increasing availability of very high resolution (VHR) remote sensing images, the remote sensing image classification becomes more and more
Z. Li +5 more
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NOVEL CLASSIFICATION UNCERTAINTY MEASUREMENT MODEL INTEGRATING SPATIAL INFORMATION FOR REMOTE SENSING IMAGE [PDF]
ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences, 2020 Remote sensing image classification has important applications in many fields. However, the uncertainty of remote sensing image classification results will reduce its application value and reliability in these applications.
Q. Zhang, P. Zhang, X. Hu
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Trading via image classification [PDF]
Proceedings of the First ACM International Conference on AI in Finance, 2020 The art of systematic financial trading evolved with an array of approaches, ranging from simple strategies to complex algorithms all relying, primary, on aspects of time-series analysis. Recently, after visiting the trading floor of a leading financial institution, we noticed that traders always execute their trade orders while observing images of ...
Cohen, Naftali +2 more
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