A new approach to change vector analysis using distance and similarity measures
The need to monitor the Earth's surface over a range of spatial and temporal scales is
fundamental in ecosystems planning and management. Change-Vector Analysis (CVA) is a …
fundamental in ecosystems planning and management. Change-Vector Analysis (CVA) is a …
Building change detection after earthquake using multi-criteria decision analysis based on extracted information from high spatial resolution satellite images
M Janalipour, M Taleai - International journal of remote sensing, 2017 - Taylor & Francis
Change detection of ground surface objects can provide essential and precious information
for experts in the fields of Geomatics, emergency management, urban management …
for experts in the fields of Geomatics, emergency management, urban management …
Soft computing techniques for change detection in remotely sensed images: A review
M Khurana, V Saxena - arXiv preprint arXiv:1506.00768, 2015 - arxiv.org
With the advent of remote sensing satellites, a huge repository of remotely sensed images is
available. Change detection in remotely sensed images has been an active research area …
available. Change detection in remotely sensed images has been an active research area …
Change detection based on multi-feature clustering using differential evolution for landsat imagery
Change detection (CD) of natural land cover is important for environmental protection and to
maintain an ecological balance. The Landsat series of satellites provide continuous …
maintain an ecological balance. The Landsat series of satellites provide continuous …
A land use/land cover change geospatial cyberinfrastructure to integrate big data and temporal topology
J Xing, RE Sieber - International Journal of Geographical …, 2016 - Taylor & Francis
Big data have shifted spatial optimization from a purely computational-intensive problem to a
data-intensive challenge. This is especially the case for spatiotemporal (ST) land use/land …
data-intensive challenge. This is especially the case for spatiotemporal (ST) land use/land …
Unsupervised change detection from remote sensing images using hybrid genetic FCM
This paper presents a new technique for unsupervised change detection in bitemporal
remote sensing images using spectral change difference images and hybrid genetic FCM …
remote sensing images using spectral change difference images and hybrid genetic FCM …
A novel unsupervised change detection method from remotely sensed imagery based on an improved thresholding algorithm
Change Detection (CD) problem from remotely sensed images is a popular topic among
researchers. Because of the diversity in the problem of change detection and the complexity …
researchers. Because of the diversity in the problem of change detection and the complexity …
Vessel segmentation in MRI using a variational image subtraction approach
Vessel segmentation is important for many clinical applications, such as the diagnosis of
vascular diseases, the planning of surgery, or the monitoring of the progress of disease …
vascular diseases, the planning of surgery, or the monitoring of the progress of disease …
A robust nonlinear scale space change detection approach for SAR images
In this paper, we propose a change detection approach based on nonlinear scale space
analysis of change images for robust detection of various changes incurred by natural …
analysis of change images for robust detection of various changes incurred by natural …
Effectiveness of morphological reconstruction operators in change detection for remote sensing images
M Khurana, V Saxena - International Journal of Spatial …, 2017 - inderscienceonline.com
Change detection (CD) in multi-temporal images aims at quantifying the temporal effects or
changes in remote sensing images taken at different times of the same area of Earth. With …
changes in remote sensing images taken at different times of the same area of Earth. With …