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In recent years, the methods for detecting structural changes in time series have been adapted for forest disturbance monitoring using satellite data. The BFAST (Breaks For Additive Season and Trend) ...
Along with the rapid development of remote sensing technology, remote sensing images have been used in more and more fields. How to retrieval the images rapidly and effectively from the giganticdataba...
How to greatly benefit form a variety of remote sensing data has become a bottle-neck problem in application of remote sensing. As an image has high spectral resolution, but relatively lower spatial r...
The paper focuses on image fusion between multi-spectral images and panchromatic images using a wavelet analysis method with good signal processing and image processing traits. A new weighting techniq...
While many remote sensing and GIS applications require both the spatial resolution and spectral resolution be high, image fusion, or in other words, image sharpening, is a useful technique. To date, n...
This paper presents an automatic methodology for spatial road network extraction from multi spectral remote sensing images with floating car data. Basically, it can be divided into two steps. In the f...
A method for automatic updating of building data bases from Digital Surface Models (DSM) and a normalised difference vegetation index is evaluated. The DSM can be generated from Airborne Laserscanner ...
Miniature Multiple Camera Array (MiniMCA-12) is a frame-based multilens/multispectral sensor composed of 12 lenses with narrow band filters. Due to its small size and light weight, it is suitable to m...
Coral reefs are considered one of the most diverse, productive and sensitive ecosystems among the various ecosystems existing today. They are usually found in clear waters and often amenable to optic...
A methodology has been developed for modeling and mapping various aerosol parameters using the IRS-P4 Ocean Color Monitoring [OCM] multi-spectral data having wide swath of 1420 km and high (360 m) sp...
Extraction of information from satellite images, due to better cost & time consumption, all times accessibility and vast area of coverage, is seen as one solution for countries have no overall maps [...
Principal component analysis (PCA) is usually used for compressing information in multivariate data sets by computing orthogonal projections that maximize the amount of data variance. PCA is effective...
In this study using the Idrisi software system, a methodology for jointly analyzing and interpreting multi-spectral images and DEMs for extracting structural-geology features is given. In analyzing a...
The thematic maps derived from remotely-sensed images are invaluable sources of information for various investigations since they provide spatial and temporal information about the nature of Earth su...
Attaining geospatial information is a challenge for many scientific practitioners. Such information is a necessary tool for spatial decision making. Remote Sensing (RS) is the leading art/science pr...

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