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In this paper, a novel superpixel-based approach is proposed for unsupervised and automatic change detection. A super-pixel is a set of pixels which have similar spectrum and
Many studies on segmentation and classification of agricultural fields from remotely sensed data can be found in the literature. Studies related to change detection or updating
In the second step, changes were detected by combining change detection techniques such as image differencing (ID), principal components analysis (PCA), minimum noise
For the detection, a combined approach of four methods achieved the best results, using slope-based DSM filtering as well as classification of multispectral images, elevation data
While traditional dense matching approaches for aerial images are based on stereo pairs (Hirschm¨uller, 2006), we employ a multi- view method for dense depth map extraction.. The
The results identified that, particularly in areas of high elevation change, DEMs at 20m cell size created from broad scale 1:25,000 data (combined with more detailed data or
This paper focused on analyzing the impact on multi-spectral image caused by satellite jitter and proposed a jitter detection and compensation method to improve the
APPLICATION OF REMOTE SENSING AND GIS IN LAND USE/LAND COVER MAPPING AND CHANGE DETECTION IN SHASHA FOREST RESERVE,
