An Improved Faster R-CNN Method to Detect Tailings Ponds from High-Resolution Remote Sensing Images

S-cnn-based Ship Detection from High-resolution Remote Sensing Images

Reliable ship detection plays an important role in both military and civil fields. However, it makes the task difficult with high-resolution remote sensing images with complex background and various types of ships with different poses, shapes and scales. Related works mostly used gray and shape features to detect ships, which obtain results with poor robustness and efficiency. To detect ships m...

Automated Change Detection from High-resolution Remote Sensing Images

A fast detection of change in areas of crises or catastrophes is an important condition for planning and coordination of help. This paper describes the results of a cooperative suite of algorithms for automated change detection based on the availability of new satellites with high temporal and/or spatial resolutions. The methods are based on frequency and texture analysis, and segmentation. For...

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

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 ...