Object-Based Change Detection in Urban Areas: The Effects of Segmentation Strategy, Scale, and Feature Space on Unsupervised Methods.
Lei MaManchun LiThomas BlaschkeXiaoxue MaDirk TiedeLiang ChengZhenjie ChenDong ChenPublished in: Remote. Sens. (2016)
Keyphrases
- change detection
- urban areas
- remote sensing images
- satellite images
- feature space
- unsupervised methods
- satellite imagery
- remote sensing
- land cover
- urban environments
- supervised methods
- image segmentation
- semantic segmentation
- multiscale
- data streams
- segmentation algorithm
- image retrieval
- segmented images
- aerial images
- segmentation method
- mean shift
- image analysis
- image registration
- training set
- feature vectors
- high quality
- semi supervised
- fully automatic
- edge detection
- scale space
- image processing
- multispectral
- level set
- markov random field
- data sets
- image data
- geographic information systems
- database