The Applied Research Of Remote Sensing Digital Image Processing Technology In The Geothermal Forecasting

Currently, the image treated with the remote sensing digital image processing techniquesis just used as the reference for the exploration of geothermal resources rather than directapplication to forecast and map the distribution of the geothermal resources. In the process,there still exist many problems. For example, during the remote sensing digital imagepreprocessing by use of the commercial software and related methods, there are someproblems such as the loss of the pixel brightness values, unsuccessful extraction of theimage’s original information, which finally affects the implement and credibility of thegeothermal resources’ exploration; The excessive dependence on thermal remote sensingband image makes us overlook the effect of combination of remote sensing images of bandson the display of geothermal resources’ characteristics; The effect of excludingnon-geothermal abnormal interference factors. These problems will lead to larger deviationswhen the prediction area of geothermal resources are delineated, affecting the efficiency andquality of geothermal resources prediction ultimately.The paper firstly researches the influence factors of remote sensing digital image bandselection for geothermal anomaly information extraction, by researching the paper finds thestudy areas’ latitude height or low, vegetation cover and surface water much or less, bare rockconditions and other factors, that directly affect the band combination of choice. Based onthese comprehensive factors, this paper presents a method which can select the suitable bandcombination to present the rocks’ properties and the geological features in the forecast area,and summarizes the following rules: high-latitude, low vegetation, surface water and rocksbare areas, it is suitable to select the ETM+5,4,3bands to do the false color synthesis; lowlatitude and high vegetation cover, surface water and rocks less bare areas, it is suitable toselect the ETM+7,4,1bands to do the false color composite; and with the ETM+61band totest and verify the False color composite band selection. This study tries to put up with aalgorithm called lossless pan bi-directional contrast stretching (LPBCS) which can reduce theloss of the pixel brightness values during false color composite enhanced, it is a improvementto the previous remote sensing digital image synthesis enhancement,laying a data foundationfor the follow-up forecasting of the geothermal resources. Through analyzing the principalcomponent, we attempt to remove the interference factors which cause the thermal anomalyof the surface; through researching the edge detection image generated out of the transformingof discrete Haar wavelet, this paper tries to identify areas with geothermal anomaly, comparewith conventional geothermal map and prove the feasibility of this prediction method byexperiments. It is still a worldwide problem to use remote sensing digital image to directly forecastgeothermal resources and do the mapping. Since we couldn’t completely substitute thecomputer technology for the ground exploration, we’d better improve the accuracy ofprediction and delineate the working areas on the ground to lessen the exploring areas and theamount of work. Since we couldn’t completely substitute the computer technology for theground exploration, we’d better improve the accuracy of prediction and delineate the workingareas on the ground to lessen the exploring areas and the amount of work. Choosing theYellowstone National Park USA and Ruidian-Tengchong-Lianghe Yunnan province, areas richin geothermal resources, as the object of study to test the effectiveness of the experiment andits methods, this paper tries to do its own research contributions.