Iterative Single-Image Digital Super-Resolution Using Partial High-Resolution Data

Automatic detection and classification of damaged buildings, using high resolution satellite imagery and vector data. In: The International Archives of the Photogrammetry,

This study investigates the potential of using very high resolution (VHR) QuickBird data to conduct vegetation classification of the Sundarban mangrove forest in Bangladesh

In addition to the ready-to-use data available with the WRF model, the model configuration includes high resolution MODIS land use (500 m horizontal resolution) and JPL-NASA sea

Imaging spectroscopy (IS), or hyperspectral remote sensing (HRS), is an advanced tool that provides high spectral resolution data in an image, with the aim of

In our approach, while a high-resolution discretisation is used for the a priori definition of the compulsory flow for a task environment, a low-resolution discretisation is used in

Figure 5.7 – Results of the sixth cross-section of both low-resolution geological model and high-resolution morphological model: (a) low-resolution geological model first

In experiments, we obtained results superior compared to competing approaches trained on generic image sets, which failed to reasonably scale satellite images with a high

Finally, the high resolution image and marker image as well as super- pixels are employed as input of Maximal Similarity based Region Merging (MSRM) to group the