Image segmentation

In this article, we introduce a new segmentation method based on a superpixel approach. This method creates multitemporal superpixels, which are meaningful regions in space and time. Experimental results showed that the method performed well, achieving a good boundary agreement and obtaining high scores on the three metrics used for evaluation.

Producing reliable land use and land cover maps to support the deployment and operation of public policies is a necessity, especially …

Segmentation is a fundamental problem in image processing and a common operation in Remote Sensing, which has been widely used …

In this work, we extended our previous work, that aims to produce divisions among tiles to ensure more boundaries using non-crisp borders using graph-theory. By applying this non-crisp line cut, we avoid the post-processing of neighboring regions, and therefore speed up the segmentation.

Image segmentation is a traditional method in Remote Sensing and a fundamental problem in image processing applications. It has been …