The unmanned aerial vehicle (UAV) sensors and platforms nowadays are being used in
almost every application (eg, agriculture, forestry, and mining) that needs observed …

Image segmentation is a critical and important step in (GEographic) Object-Based Image
Analysis (GEOBIA or OBIA). The final feature extraction and classification in OBIA is highly …

Accurate and timely monitoring of flooded crop areas is crucial for disaster rescue and loss
assessment. However, most flooded crop monitoring methods based on synthetic aperture …

Efficient methodologies for map** croplands are an essential condition for the
implementation of sustainable agricultural practices and for monitoring crops periodically …

Object-based image classification for land-cover map** purposes using remote-sensing
imagery has attracted significant attention in recent years. Numerous studies conducted over …

Object detection in optical remote sensing images, being a fundamental but challenging
problem in the field of aerial and satellite image analysis, plays an important role for a wide …

Land cover classification of Landsat images is one of the most important applications
developed from Earth observation satellites. The last four decades were marked by different …

The amount of scientific literature on (Geographic) Object-based Image Analysis–GEOBIA
has been and still is sharply increasing. These approaches to analysing imagery have …

The appetite for up-to-date information about earth's surface is ever increasing, as such
information provides a base for a large number of applications, including local, regional and …

The size of the training data set is a major determinant of classification accuracy.
Nevertheless, the collection of a large training data set for supervised classifiers can be a …