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 …

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 …

We introduce a new automated approach to parameterising multi-scale image segmentation
of multiple layers, and we implemented it as a generic tool for the eCognition® software …

The applications of object-based image analysis (OBIA) in remote sensing studies of
wetlands have been growing over recent decades, addressing tasks from detection and …

Although multiresolution segmentation (MRS) is a powerful technique for dealing with very
high resolution imagery, some of the image objects that it generates do not match the …

A malignant tumor in brain is detected using images from Magnetic Resonance scanners.
Malignancy detection in brain and separation of its tissues from normal brain cells allows to …

Land cover mapping via image classification is sometimes realized through object-based
image analysis. Objects are typically constructed by partitioning imagery into spatially …

We introduce an object-based method to automatically classify topography from SRTM data.
The new method relies on the concept of decomposing land-surface complexity into more …

This paper investigates the reliability of free and open-source algorithms used in the
geographical object-based image classification (GEOBIA) of very high resolution (VHR) …

For identification of forested landslides, most studies focus on knowledge-based and pixel-
based analysis (PBA) of LiDar data, while few studies have examined (semi-) automated …