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Point cloud segmentation is a crucial step in scene understanding and interpretation. The goal is to decompose the initial data into sets of workable clusters with similar properties. Additionally, it...
High resolution satellite imaging is considered as the outstanding applicant to extract the Earth’s surface information. Extraction of a feature of an image is very difficult due to having to find the...
Dynamic segmentation is a method that facilitates the small areas along a line feature to be referenced without actually breaking the line into pieces. However, the current dynamic segmentation method...
High resolution (H-res) satellite sensors provide rich structural or spatial information of image objects. But few researchers study the feature extraction method of H-res satellite images and its app...
Nowadays object oriented image analysis becomes a hot issue in the field of image processing and interpretation because of its more robust noise removing ability, more abundant image features and expe...
Image segmentation is a valuable approach that performs an object-based rather than a pixel-based analysis of high-spatial resolution satellite image. A multiscale approach for segmenting the pan-shar...
Unsupervised segmentation methods are important to extract boundary features from large forest vegetation databases. Finding optimized segmentation algorithms for images with natural vegetation is cru...
In this paper, an approach for extracting vehicles from UAV aerial imagery is given. The approach is based on a fuzzy segmentation algorithm, which combine fuzzy c-partition and genetic algorithm, and...
This article presents a new approach for image segmentation applied to urban imagery. Re-segmentation is so called because it uses a previous over-segmented image as input to generate a new set of obj...
An approach for tree species classification in urban areas from high resolution colour infrared (CIR) aerial images and the corresponding Digital Surface Model (DSM) is described in this paper. ...
Areal features are of great importance in applications like shore line mapping, boundary delineation and change detection. This research work is an attempt to automate the process of extracting featur...
In remote sensing, the satellite images acquired form sensors exhibit either good spectral characteristics (multispectral data) or high spatial characteristics (panchromatic data). Image fusion is req...
Image segmentation is a preliminary and critical step in segment-based image analysis. Its proper evaluation ensures that the best segmentation result is used in image classification. In this paper, i...
For object- oriented classification approaches, main step is the segmentation part of the imagery. In eCognition v.4.0.6 software, with the segmentation process, meaningful objects can be created fo...
The collapsed buildings due to earthquake were detected from post-event aerial images using watershed segmentation algorithm. The objective was to detect the collapsed buildings based on the analysi...

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