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 …

Cities and towns are the original producers of many of the global environmental problems
related to waste disposal, and air and water pollution. There is a rapidly growing need for …

The use of unmanned aerial vehicles (UAVs) for remote sensing applications is becoming
more frequent. However, this type of information can result in several software problems …

This paper proposes a novel two-stage method for remote sensing image segmentation.
First, initial small segments, also called subobject primitives (sub-OPs), are obtained using …

An abundance of various segmentation techniques are available in the literature, that cater
to wide range of image understanding applications. The paper proposes a unified way of …

The problem considered in this paper is how to select features that are useful in classifying
perceptual objects that are qualitatively but not necessarily spatially near each other. The …

The focus of this chapter is on image segmentation algorithms for land categorization. Our
image analysis goal will generally be to appropriately partition an image obtained from a …

Man-made objects, including buildings and roads, often feature straight boundaries. Specific
shape features, including parallel boundaries (eg, roads and buildings) and perpendicular …

Near sets (also called Descriptively Near Sets) classify nonempty sets of objects based on
object feature values. The Near Set Theory provides a framework for measuring the …

The segmentation of magnetic resonance imaging (MRI) is an essential step for many
applications in medical fields. The detection of the tumor region and the precise recognition …