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 …

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 …

Abstract Convolutional Neural Network (CNN) has been increasingly used for land cover
mapping of remotely sensed imagery. However, large-area classification using traditional …

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

Buildings are the most striking artificial features, and extracting buildings becomes critical for
many service-providing agencies. Although improvements have been achieved, building …

Image segmentation is essential in object-based image analysis. Numerous image
segmentation algorithms have been proposed and widely applied to process remote …

Object-based image analysis (OBIA) has become a key research topic for decades and
represents an attractive paradigm leading to accurate features classification and recognition …

Segmentation is a process of dividing image into multiple parts. Each part is called a
segment. The main objective of the segmenting image is to convert the representation of an …

Image segmentation is a significant topic in image refining and automated image analysis
with relevance for instance object recognition, diagnostic imaging scanning, mechanized …

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 …