FEATURE MODELLING OF HIGH RESOLUTION REMOTE SENSING IMAGES CONSIDERING SPATIAL AUTOCORRELATION

Segmentation Improvement of High Resolution Remote Sensing Images based on superpixels using Edge-based SLIC algorithm (E-SLIC)

The segmentation of high resolution remote sensing images is one of the most important analyses that play a significant role in the maximal and exact extraction of information.  There are different types of segmentation methods among which using  superpixels is one of the most important ones. Several methods have been proposed for extracting superpixels. Among the most successful ones, we can r...

Application Of High-Resolution Remote Sensing Images In Road Extraction

Super-Resolution Reconstruction for Multi-Angle Remote Sensing Images Considering Resolution Differences

Multi-angle remote sensing images are acquired over the same imaging scene from different angles, and share similar but not identical information. It is therefore possible to enhance the spatial resolution of the multi-angle remote sensing images by the super-resolution reconstruction technique. However, different sensor shooting angles lead to different resolutions for each angle image, which ...

Rural Road Extraction from High-Resolution Remote Sensing Images Based on Geometric Feature Inference

Road information as a type of basic geographic information is very important for services such as city planning and traffic navigation, as such there is an urgent need for updating road information in a timely manner. Scholars have proposed various methods of extracting roads from remote sensing images, but most of them are not applicable to rural roads with diverse materials, large curvature c...

Farmland Parcels Extraction Based on High Resolution Remote Sensing Images

Extracting farmland parcels from high resolution remote sensing images is an important issue for land-use dynamic monitoring, precision agriculture and other fields. However, the traditional method, using GIS software and manual digital, has wasted a lot of human and material resources. In addition, the results are impacted by the human factors obviously. Therefore, an automatically extraction ...