نتایج جستجو برای: resolution images from all classification approaches
تعداد نتایج: 7040853 فیلتر نتایج به سال:
When performing post-classification comparison using images of different sensors, change detection is still possible even if images have different resolutions. However, in this case, change pixels are detected in the pixel size of coarser resolution image. This problem can be solved using higher resolution aerial photographs or panchromatic images if available. In multi sensor image fusion, ima...
Extended abstract 1- Introduction The process of identifying landforms is a subject that has been researched by many researchers. All the definitions of geomorphology emphasize the study and identification of landforms. Understanding landforms and how they are distributed are some sort of essential requirements in applied geomorphology and other environmental sciences (Shayan et al., 2012). O...
The problem of classifying low resolution images is both highly challenging as low resolution images carry very limited information and incredibly important for developing robust, resolution-agnostic classification systems. In the past researchers have attempted to solve the low resolution image classification problem directly, that is, by training classifiers on a dataset of low-res images (e....
Introduction: Having accurate and up-to-date information on the status of land use and land cover change is a key point to protecting natural resources, sustainable agriculture management and urban development. Preparing the land cover and land use maps with traditional methods is usually time and cost consuming. Nowadays satellite imagery provides the possibility to prepare these maps in less ...
Background and objectives: Satellite images and remote sensing technology are recognized as efficient and modern tools for extracting information related to earth sciences, which make it possible to evaluate and monitor ecosystems at a lower cost than field methods. One of the most important methods of extracting information from satellite data is various image classification techniques. The pr...
Single-particle cryogenic electron microscopy (cryo-EM) is a powerful tool for the study of macromolecular structures at high resolution. Classification allows multiple structural states to be extracted and reconstructed from the same sample. One classification approach is via the covariance matrix, which captures the correlation between every pair of voxels. Earlier approaches employ computing...
When monitoring deforestation, frequent images with an optimal spatial resolution are required. But in reality either images with low spatial resolution and a high revisit frequency or high spatial resolution images with a low revisit time are available. Combining different spatial and temporal resolutions could solve this problem. The study site in the Colombian Amazon contains small fields wi...
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