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A new automation process for change detection of land area is proposed. The method is based on the use of multitemporal satellite images and their histograms. The proposed discrete representation of l...
This article presents a hybrid method that combines image segmentation, GIS analysis, and visual interpretation in order to detect discrepancies between an existing land use/cover map and satellite im...
Persistent Scatterer Interferometry (PSI) is a technique to extract subtle surface deformation from sets of scatterers identified in time-series of SAR images which feature temporally stable and stron...
An algorithm for building detection in aerial images is presented. The algorithm is based on a combination of unsupervised segmentation and selection of a training set based on existing building regis...
There have been a large number of studies comparing land use/cover change detection methods. The results of these studies tend to be contradictory, and consequently no clear consensus on the optimal ...
The objective of this paper is to present an approach for assessing tree growth and shrub encroachment between 1997 and 2002 in open mire land using CIR-aerial images, DSMs and LiDAR data. The study ...
In this paper, an approach based on Binary Division Algorithm, to detect the Hotspots using Multi-resolution fusion of band 1, band 2, band 31 and band 32 of Moderate Resolution Imaging Spectroradio...
Coastal zones are constantly undergoing wide changes in shape and environment due to natural as well as human development activities. recreational activities, waste disposal etc. The shoreline change...
Detailed data captures from past decades are available in some cases for very famous historical objects of cultural heritage. So a complete set of historical plans exists for the world famous Castle o...
This paper has the aim of illustrating an automatic and speditive way for retrieving inundation extent from multispectral and multitemporal satellite data, together with land-cover changes caused by ...
This paper describes an on-going work on the development and implementation of cellular automata based urban growth modeling using multitemporal satellite imagery. The algorithm is designed to simula...
For the detection of changes in land cover adequate processing and proper classification of multi-temporal images is essential. Relying only or too much on the technology in classifying images may no...
Geometric co-registration errors and results of object extraction (such as classification and pattern recognition) are the two main factors, which greatly affect the results of change detection in tr...
This paper proposes a distance-based kernel change detection algorithm (DKCD). The input vectors from two images of different times are mapped into a potentially much higher dimensional feature space...
Urban is more sensitive to the change of land use/cover. The up-to-date information of land use/cover is very important for urban decision-making and sustainable development. Very high resolution sat...

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