| Mineralization remote sensing image information is reflected in the geological context of mineralization, rock and ore-controlling factors such as alteration of the mineralization and the geological phenomenon of remote sensing information. I choose the Junggar - Balkhash fold of the study area, using ETM satellite image data, and porphyry copper mineralization on the remote sensing method of extracting information mineralization and its prospecting in the prediction of applied research.Research work, in four typical porphyry copper deposit, Kounrad porphyry copper deposit, Aktogay porphyry copper deposits, Baogutu porphyry copper deposits, Kalasayi porphyry copper deposits, summed up the study area typical porphyry copper deposit in the tectonic setting, mineralization geological features, such as alteration type features, from remote sensing ETM + images extracting geological information to provide relevant geological basis.The ETM + images, including atmospheric correction, geometric correction, and other geographical data pretreatment; ETM image under the convergence value feature statistical analysis, the choice of the best bands of color combinations, The study area was based on remote sensing image and the image-based operator of Canny edge detection technology, access to faults in remote sensing information; Based on interactive technology to the study area of remote sensing images lithology information extraction, the main technical means are: cluster analysis, training-choice, choice-yuan, supervised classification; based on the model and the SRP CES model of remote sensing images altered Information extracted from hydroxy altered, altered with iron, a mineral characteristics altered sodium feldspar, biotite, chlorite, muscovite, pyrite, tetrahedrite epidote; According to geological information from remote sensing, from the structure, lithology, alteration to the three aspects of the speech summed up the study area typical porphyry copper deposit in the remote sensing geological information characteristics. Comparison of deposit around the linear-intensive, multi-for dendritic distribution, a wider distribution of small faults, the area exposed the invasion of the main acid in the regional fault control, mineralization formation generally Devonian, Carboniferous, Permian strata; rock to rock alteration was part of the band, were divided into biotite - K-feldspar of the zone, sericite - pyrite zones, green-screens - albite petrochemical zone.According to the study area typical porphyry copper deposit the characteristics of remote sensing geological information to the Junggar - Balkhash fold typical of porphyry copper deposit (Kounrad deposit, Aktogay deposits, Baogutu deposits, Kalasayi deposits) for the geological background, from the background with the regional geological and metallogenic environment, deposit characteristics, and the emplacement of porphyry mineralization source of the mechanism, the combination of remote sensing geological information from the characteristics of the development of a model applicable to the Junggar - Balkhash fold of the grouper Rock copper mineralization model.Finally, based on the RS-GSI technology, combined with remote sensing image analysis and information structures of regional geological background analysis, ore-control, guided mine construction, access to the various remote sensing information and prospecting have been some geography, Geology and Mineral Resources, and other data systems integration, Comprehensive processing and analysis to identify signs prospecting, mineralization to predict because the Junggar - Balkhash Fold Belt of the larger, involving remote sensing images for the ETM + Massive Data, in the light of the current working conditions, select package for the region ancient map Regional focus on prospecting, exploration target delineation of a total of three, on the 2nd target of porphyry copper deposits have been found. The other target field inspection and verification, predicted good results.
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