In this study, the unsupervised detection of urban changes, based on high-spatial resolution SAR imagery, is approached using the object-oriented paradigm.
Nov 30, 2016 · Thresholding techniques have been used successfully for pixel-based change detection using medium resolution SAR images. They have also been ...
Object-based change detection (OBCD) extracts meaningful image-objects by segmenting (two or more) input remote sensing images, and thus, it is consistent with ...
In this study, the unsupervised detection of urban changes, based on high-spatial resolution SAR imagery, is approached using the object-oriented paradigm.
Experimental results of two pairs of real high-resolution remote sensing datasets demonstrate that the proposed approach outperforms the traditional methods ...
Abstract-In this study, the unsupervised detection of urban changes, based on high-spatial resolution SAR imagery, is approached using the object-oriented ...
Thresholding techniques have been used successfully for pixel-based change detection using medium resolution SAR images. They have also been used for object- ...
[4] To investigate the object-based unsupervised detection of urban changes using high spatial resolution images and three automatic thresholding algorithms. [5] ...
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Object-based change detection offers a unique approach for high-resolution images to capture meaningful detailed change information while suppressing noise ...
Jul 19, 2022 · The object-based change detection method divides the remote sensing image into disjoint objects and analyzes the differences between spatial- ...