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Traditional approaches to accuracy assessment are inadequate for object oriented image processing. We tested some measures to assess the accuracy of object based image segmentation in a supervised con...
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...
Rock segmentation is important for the success of the Mars Exploration Rover mission and its scientific studies. In this paper, a framework for automated rock segmentation using texture-based image se...
Terrestrial laser scanning is becoming a standard technology for 3D modeling of complex scenes. Laser scans contain detailed geometric information, but still require interpretation of the data for ma...
In this paper we present a new efficient edge detection algorithm for the extraction of linear features in both range and intensity image data. In the proposed algorithm the distinguished points, whi...
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...
Conventional distress detection method which dealing with each image through single algorithm and under single scale with lower efficiency. A robust and high-efficiency model for segmentation and dis...
The use of UAV in the application of photogrammetry to obtain cover images and achieve the main objectives of the photogrammetric mapping has been a boom in the region. The images taken from REGGIOLO ...
In this paper a new object-based framework is developed for automate scale selection in image segmentation. The quality of image objects have an important impact on further analyses. Due to the strong...
Polarimetric Synthetic Aperture Radar (PolSAR) sensors can collect useful observations from earth’s surfaces and phenomena for various remote sensing applications, such as land cover mapping, change a...
The increasing availability of synthetic aperture radar (SAR) data from a range of different sensors necessitates efficient methods for semi-automated information extraction at multiple spatial scales...
Traffic observation from airplane platforms using digital cameras is a fairly new application of Video Image Detection Systems (VIDS). These systems are also particularly interesting for observations ...
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...
In forestry applications, the great challenge is to automatically extract as much information as possible on forest structure, the vertical and horizontal distribution of vegetation, the delineation o...

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