In this study, a multi-scale approach is used to improve the segmentation of a high spatial
resolution (30 cm) color infrared image of a residential area. First, a series of 25 image …

In object-based image analysis, how to produce accurate segmentation is usually a very
important issue that needs to be solved before image classification or target recognition. The …

The spatial resolution of imaging sensors has increased dramatically in recent years, and so
too have the challenges associated with extracting meaningful information from their data …

This letter proposes an optimization approach that enhances the quality of image
segmentation using the software Definiens Developer. The procedure aims at the …

Image segmentation is the key step of Object-Based Image Analysis (OBIA) in remote
sensing. This paper proposes a Boundary-Constrained Multi-Scale Segmentation (BCMS) …

Image segmentation is one of key steps in object based image analysis of very high
resolution images. Selecting the appropriate scale parameter becomes a particularly …

The advances in remote sensing sensors during the last two decades have led to the
production of very high spatial resolution multispectral images. In order to adapt to this rapid …

Region‐growing segmentation algorithms are useful for remote sensing image
segmentation. These algorithms need the user to supply control parameters, which control …

The objective of image segmentation in remote sensing is to define regions in an image that
correspond to objects in the ground scene. Traditional scene models underlying image …

Multi‐resolution segmentation, as one of the most popular approaches in object‐oriented
image segmentation, has been greatly enabled by the advent of the commercial software …