With many platforms and sensors continuously observing the earth surface, the large
amount of remote sensing data presents a big data challenge. While remote sensing data …

The development of new sensors and easier access to remote sensing data are significantly
transforming both the theory and practice of remote sensing. Although data-driven …

Because of its wide potential applications, remote sensing (RS) image semantic
segmentation has attracted increasing research interest in recent years. Until now, deep …

Abstract Information extraction is a key activity for remote sensing images. A common
distinction exists between knowledge-driven and data-driven methods. Knowledge-driven …

Urban planning within Riyadh, the capital of Saudi Arabia, has been impacted by the
presence of informal settlements. An understanding of the spatial distribution of these …

Green infrastructure (GI) map** and monitoring is crucial in urban areas, and remote
sensing is widely used to accomplish the task. Improved moderate resolution Sentinel-2A …

Object-Based Image Analysis (OBIA) has been successfully used to map slums. In general,
the occurrence of uncertainties in producing geographic data is inevitable. However, most …

Earth Observation (EO) based on Remote Sensing (RS) is gaining importance nowadays,
since it offers a well-grounded technological framework for the development of advanced …

The increasing amount of remote sensing data has opened the door to new challenging
research topics. Nowadays, significant efforts are devoted to pixel and object based …

Remotely sensed images represent an important source of information for monitoring land
changes that may occur. There is, therefore, a need to analyze and interpret such …