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Information Journal Paper

Title

USING SUB-PIXEL/PIXEL SPATIAL ATTRACTION MODEL TO INCREASE SPATIAL RESOLUTION OF DEM

Pages

  99-107

Keywords

DIGITAL ELEVATION MODEL (DEM)Q1

Abstract

 Topography is a factor controlling the spatial distribution of soil moisture, vegetation, soil salinity, soil texture and so on. It has an important role in changing the characteristics of the soil and hydrological processes. In recent years the topography have been used as an important factor for predicting the properties of soil, climate, geology, etc. According to the importance of topography to extract different information, use of satellite images with high SPATIAL RESOLUTION seems very necessary. Digital elevation models (DEM) have become a widely used tool and product in the last 20 years. They provide a snapshot of the landscape and landscape features while also providing elevation values. They have allowed us to better visualize and interrogate topographic features. In addition to increasing the SPATIAL RESOLUTION, information of the digital elevation model (DEM) that is the most important issues in quantitative geomorphology have increased. In order to increase the SPATIAL RESOLUTION several models have been proposed. Among the models, the ATTRACTION MODEL as the newest model has very high accuracy. The SUB-PIXEL ATTRACTION MODELs convert the pixel towards SUB-PIXELs based on the fraction values in neighboring pixels that can be attracted only by central pixel. Based on this approach only a maximum of eight neighboring pixels can be selected for the attraction. In the model, other pixels are supposed to be far from the central pixel to have any attraction. In this study by using SUB-PIXEL ATTRACTION MODEL, the SPATIAL RESOLUTION of digital elevation models (DEM) was increased (SUB-PIXEL mapping technology is apromising method of increasing the SPATIAL RESOLUTION of the classification results derived from remote sensing imagery). The design of the algorithm is accomplished by using digital elevation model (DEM) with SPATIAL RESOLUTION of 30 m (Advanced Space borne Thermal Emission and Reflection Radiometer (ASTER)) and 90 m (Shuttle Radar Topography Mission (SRTM)). This study was carried out in the East Mount Sahand, Iran is located at the longitude of N 37° 31َto 37° 30 and latitude of E 45° 55َto 45° 58َ.It is expected that using ATTRACTION MODEL increasesthe SPATIAL RESOLUTION of DEM. The ATTRACTION MODEL does not need any calibration and training similar to the machine learning algorithms. So, to run the algorithm in the model, the computing time was reduced. In ATTRACTION MODEL, scale factors of (2, 3 and 4) with two neighboring methods of touching and quadrant are applied to DEMs using Matlab software and then using RMSE (Root mean square error), determined the best model. The algorithm is evaluated using 2118 sample points that aremeasured by surveyors. As the result of Root mean square error (RMSE), it showed that the spatial ATTRACTION MODEL with scale factor of (S=2 and T=2) for digital elevation model (DEM) 30m and digital elevation model (DEM) 90mgives better results compared to scale factors that are greater than 2 and also touching neighborhood method proved to be more accurate than quadrant. In fact, subtracting each pixel tomore than two SUB-PIXELs caused to decrease the accuracy of resulted DEM which makes the value ofroot mean square error (RMSE) to increase and showed that ATTRACTION MODELs could not be used for S which is greater than 2. So, according to the results, it is suggested that themodel to be used for increasing SPATIAL RESOLUTION of DEM in the studies catchment. Comparing the digital elevation model (DEM) as inputs in the ATTRACTION MODELs determined that digital elevation model (DEM) 30 m (root mean square error<5.54) has better SPATIAL RESOLUTION than digital elevation model (DEM) 90 m (root mean square error=9.13) to find the best model for increasing SPATIAL RESOLUTION. The results showed that by using the method, the SPATIAL RESOLUTION of digital elevation model (DEM) with lower time and cost could be increased. Digital elevation model (DEM) map with high resolution as a base can be used for finding more information from the Earth surface. For different study such as amount of vegetation, temperature, rainfall and hydrological status the results of SUB-PIXEL attractions on digital elevation model (DEM) can be used and more details of study area could be found. Therefore, it is suggested that the same researches should be done in other areas with different topographic and geographical conditions in order to confirm the results of this study.

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    APA: Copy

    MOKARRAM, MARZIEH, HOJJATI, MAJID, & ZAREI, ABDOL RASOUL. (2017). USING SUB-PIXEL/PIXEL SPATIAL ATTRACTION MODEL TO INCREASE SPATIAL RESOLUTION OF DEM. GEOGRAPHICAL DATA, 26(103 ), 99-107. SID. https://sid.ir/paper/253277/en

    Vancouver: Copy

    MOKARRAM MARZIEH, HOJJATI MAJID, ZAREI ABDOL RASOUL. USING SUB-PIXEL/PIXEL SPATIAL ATTRACTION MODEL TO INCREASE SPATIAL RESOLUTION OF DEM. GEOGRAPHICAL DATA[Internet]. 2017;26(103 ):99-107. Available from: https://sid.ir/paper/253277/en

    IEEE: Copy

    MARZIEH MOKARRAM, MAJID HOJJATI, and ABDOL RASOUL ZAREI, “USING SUB-PIXEL/PIXEL SPATIAL ATTRACTION MODEL TO INCREASE SPATIAL RESOLUTION OF DEM,” GEOGRAPHICAL DATA, vol. 26, no. 103 , pp. 99–107, 2017, [Online]. Available: https://sid.ir/paper/253277/en

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