Interactive comment on “Spatial and radiometric characterization of multi-spectrum satellite images through multifractal analysis” by
نویسنده
چکیده
This manuscript characterizes several bands of multi-spectral images obtained with different radiometric and spatial resolution by IKONOS-2 and LANDSAT-7 satellites by multifractal analysis. Three of the studied bands were in the visible wavelength spectrum (red, green and blue), while the fourth one was in the near-infrared region. IKONOS-2 images were taken with a radiometric resolution of 11 bits/pixel and the pixel size was 4m x 4m pixel size. LANDSAT-7 images were taken with a radiometric resolution of 8 bits/pixel and the pixel size was 30m x 30m. For IKONOS-2 images both, the original pixel code (11 bits) and a transformed pixel code (8 bits) have been considered. Then, the effects of spatial and radiometric resolution on several multifractal parameters were investigated. The rationale and the objectives exposed in the
منابع مشابه
Interactive comments on “Spatial and radiometric characterization of multi-spectrum satellite images through multifractal analysis” by
متن کامل
Spatial and radiometric characterization of multi-spectrum satellite images through multi-fractal analysis
Several studies have shown that vegetation indexes can be used to estimate root zone soil moisture. Earth surface images, obtained by high-resolution satellites, presently give a lot of information on these indexes, based on the data of several wavelengths. Because of the potential capacity for systematic observations at various scales, remote sensing technology extends the possible data archiv...
متن کاملComments on: Spatial and radiometric characterization of multi-spectrum satellite imagesthrough multifractal analysis
Although the authors’ similarity report found some similarity with other papers by the authors, my main concern was a lack of similarity with one of them! Indeed, the authors completely failed to cite the first and still the most comprehensive multifractal analysis of satellite derived vegetation indices. Without this, their own paper is without adequate context, their results are simply isolat...
متن کاملChange detection from satellite images based on optimal asymmetric thresholding the difference image
As a process to detect changes in land cover by using multi-temporal satellite images, change detection is one of the practical subjects in field of remote sensing. Any progress on this issue increase the accuracy of results as well as facilitating and accelerating the analysis of multi-temporal data and reducing the cost of producing geospatial information. In this study, an unsupervised chang...
متن کاملObject-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کامل