Now showing items 1-10 of 384
Statistical evaluation and analysis of road extraction methodologies using a unique dataset from remote sensing
In the scientific literature, multiple studies address the application of road extraction methodologies to a particular cartographic dataset. However, it is difficult for any study to perform a more reliable comparison ...
A semi-automatic method for indirect orientation of aerial images using ground control lines extracted from airborne laser scanner data
This paper presents a method for indirect orientation of aerial images using ground control lines extracted from airborne Laser system (ALS) data. This data integration strategy has shown good potential in the automation ...
A correlation graph approach for unsupervised manifold learning in image retrieval tasks
Effectively measuring the similarity among images is a challenging problem in image retrieval tasks due to the difficulty of considering the dataset manifold. This paper presents an unsupervised manifold learning algorithm ...
Detecção automática de sombras em imagens aéreas e terrestres
Shadows exist in almost all aerial and outdoor images, and they can be useful for estimating Sun position estimation or measuring object size. On the other hand, they represent a problem in processes such as object ...
A semi-supervised learning algorithm for relevance feedback and collaborative image retrieval
The interaction of users with search services has been recognized as an important mechanism for expressing and handling user information needs. One traditional approach for supporting such interactive search relies on ...
Brain tissue MR-image segmentation via optimum-path forest clustering
(Academic Press Inc Elsevier ScienceSan DiegoEUA, 2012)
Unsupervised manifold learning through reciprocal kNN graph and Connected Components for image retrieval tasks
Performing effective image retrieval tasks, capable of exploiting the underlying structure of datasets still constitutes a challenge research scenario. This paper proposes a novel manifold learning approach that exploits ...
A Correlation Graph Approach For Unsupervised Manifold Learning In Image Retrieval Tasks
(Elsevier Science BVAmsterdam, 2016)
Deep learning for biological image classification
A number of industries use human inspection to visually classify the quality of their products and the raw materials used in the production process, this process could be done automatically through digital image processing. ...
A New Method for Automatic Vehicle License Plate Detection
License plate recognition has been widely studied, and the advance in image capture technology helps enhance or create new methods to achieve this objective. In this work is presented a method for real time detection and ...