نتایج جستجو برای: satellite images with high spatial resolution
تعداد نتایج: 10042100 فیلتر نتایج به سال:
Super-resolution techniques that process multiple images to achieve resolution enhancement for satellite images are very important. This work utilizes Vandewalle method to realize super-resolution for satellite images. Assuming the motions between images are all on the same plane, we estimate and stick images into the high resolution grid. Because of the huge size of satellite images, only part...
Background & Aims: Spatial resolution is one of the important features of evaluating the function of nuclear medicine imaging systems. The aim of this study was evaluating the capability of the spatial resolution in images of nuclear medicine planar by calculating the modulation transfer function (MTF). Materials & Methods: Nuclear medicine imaging of capillary tube with activity 1 mCi was per...
Wheat is one of the most important grain crop in the world . This kind of plants getting infected by various natural and human factors. Occurrence of disease in this crop may cause disturbance in the circle of economic and management. Therefore prediction and prevention of this disease is one of the main concerns for managers. The method that can help to predict the conditions suitable for dise...
Context: The latest generation of satellite-based imaging sensors (Pleiades, Sentinel, etc.) acquires big volumes of Earth’s images with high spatial, spectral and temporal resolution (up to 50cm/pixel, 50 bands, twice per day, covering the full planet!). These data open the door to a large range of important applications, such as the planning of urban environments and the monitoring of natural...
For land cover classification and urban area analysis remote sensing techniques are gaining more importance. Numerous remote sensing techniques have been developed for analyzing the satellite images. The launch of Worldview-2 satellite with resolution of 0.5 m signaled the advent of high resolution satellite images. Such images offer an exciting possibility for feature extraction as well as com...
Satellite scene classification is challenging because of the high variability inherent in satellite data. Although rapid progress in remote sensing techniques has been witnessed in recent years, the resolution of the available satellite images remains limited compared with the general images acquired using a common camera. On the other hand, a satellite image usually has a greater number of spe...
High resolution images offer rich contextual information, including spatial, spectral and contextual information. In order to extract the information from these high resolution images, we need to utilize the spatial and contextual information of an object and its surroundings. If pixel based approaches are applied to extract information from such remotely sensed data, only spectral information ...
An enormous technological improvement in Ultrasonography devices has occurred during last decade, providing excellent soft-tissue contrast and high spatial resolution images. Nowadays, musculoskeletal ultrasonography is going to be a stethoscope in the hand of orthopedic surgeons for the diagnosis of many musculoskeletal pathologies, as well as an accurate guide for therapeutic interventions. T...
The reconstruction of the information contaminated by cloud and cloud shadow is an important step in pre-processing of high-resolution satellite images. The cloud and cloud shadow automatic segmentation could be the first step in the process of reconstructing the information contaminated by cloud and cloud shadow. This stage is a remarkable challenge due to the relatively inefficient performanc...
Fusion or merging or pansharpening is the digital processing that combines the high spatial and multispectral information to obtain a fused multispectral image that retains the spatial information from the high resolution panchromatic image, as well as the spectral characteristics of the lower resolution multispectral image. Many fusion algorithms were developed and tested on different commerci...
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