As a fundamental and important task in remote sensing, remote sensing image scene
understanding (RSISU) has attracted tremendous research interest in recent years. RSISU …

Farmland boundary information plays a key role in agricultural remote sensing, and it is of
importance to modern agriculture. We collected the relevant research in this field at home …

In this paper, an unsupervised segmentation methodology is proposed for remotely sensed
images by using Fractional Differential (FD) based texture analysis model and Iterative Self …

The goodness of the features extracted from the instances and the number of training
instances are two key components in machine learning, and building an effective model is …

Image segmentation is the premise of object-based image analysis (OBIA), and obtaining an
optimal segmentation result has been a desire for many researchers. This article proposes …

Semantic segmentation of high-resolution remote sensing images has a wide range of
applications, such as territorial planning, geographic monitoring and smart cities. The proper …

At present, the extraction of irrigation canal network distribution information is of great
significance for developing a digital twin irrigation district. However, due to the low resolution …

To analyse the effects of mining activities on land use and land cover changes in the
Gatumba mining district of Rwanda, aerial photos from 1958, 1974 and 2009 were classified …

In medical image processing, accurate segmentation of lung tumors is very important.
Computer-aided accurate segmentation can effectively assist doctors in surgery planning …

With the rapid advancement in remote sensing (RS) technology, a massive amount of high
spatial resolution RS images are available. Extracting geo-objects from HSR remote sensing …