本文選題：光學遙感 + SAR影像　； 參考：《中國地質大學(北京)》2015年碩士論文

【摘要】：東昆侖成礦帶地處青藏高原北緣,塔里木板塊與華南-揚子板塊的交接部位,在其東段地區(qū),昆中、昆南斷裂呈北西向橫貫全區(qū),地殼構造復雜,成礦地質條件良好,但由于自然地理條件極差,地質調查工作程度較低,優(yōu)勢礦產(chǎn)與主要礦產(chǎn)潛力不清,尤其遙感地質研究工作開展較少。論文以東昆侖成礦帶東段地區(qū)為研究區(qū),借助三種不同尺度的遙感影像,重點進行線環(huán)構造信息提取研究,此外應用遙感技術提取金屬礦化蝕變信息,結合地物化等資料,依據(jù)遙感找礦模型,開展Fe、Cu礦的礦產(chǎn)預測研究。論文取得以下幾個方面的成果和認識:(1)全面收集了東昆侖成礦帶東段地區(qū)鐵、銅鎳礦點及礦化點礦產(chǎn)數(shù)據(jù),主要控礦構造,有利成礦地層與巖體,巖漿活動和圍巖蝕變以及構造概要圖等地質資料,1:100萬航磁異常、1:100萬布格重力物探數(shù)據(jù),區(qū)域地球化學數(shù)據(jù)等,數(shù)據(jù)類型涉及矢量、柵格、圖表、文本等。(2)獲取了研究區(qū)Land Sat-8 OLI影像數(shù)據(jù),GF-1影像數(shù)據(jù),VV極化Radar Sat-2影像數(shù)據(jù),在ENVI4.8軟件平臺上對三種不同尺度的遙感影像進行了數(shù)據(jù)預處理,在此基礎上,利用Land Sat-8 OLI影像提取了羥基、鐵染礦化蝕變信息,并對Land Sat-8 OLI波段組合進行選擇用于研究區(qū)構造信息提取。通過八種不同的濾波算法對Radar Sat-2影像降噪處理,濾波結果經(jīng)定量評價得出Gamma-Map算法為本實驗最優(yōu)濾波算法。(3)利用Land Sat-8 OLI影像數(shù)據(jù),采用兩種不同的構造增強方法突出構造信息,并參照研究區(qū)三維影像用于提取研究區(qū)斷裂信息。將GF-1影像和Radar Sat-2影像數(shù)據(jù)以PCA、Brovey、HPF以及小波變換四種方法進行融合實驗,PCA變換融合后影像突出了Land Sat-8 OLI影像上未能識別的環(huán)形構造信息,此外,運用GF-1的4、3、2波段的假彩色組合影像提取了重點區(qū)線性構造。(4)以遙感異常信息、遙感解譯結果為基礎,綜合地、物、化資料,依據(jù)遙感找礦模型,經(jīng)綜合分析,開展研究區(qū)Fe、Cu成礦預測研究,最終圈定1個Ⅰ級找礦靶區(qū),2個Ⅱ級找礦靶區(qū),2個Ⅲ級找礦靶區(qū),并編制成礦預測圖。
[Abstract]:The East Kunlun metallogenic belt is located in the northern margin of the Qinghai-Xizang Plateau, where the Tarim plate intersects with the South China Yangtze plate. In the eastern part of the belt, the central and southern Kunlun faults cross the whole area in the north-west direction. The crust structure is complex and the ore-forming geological conditions are good. However, due to the extremely poor natural geographical conditions, the degree of geological survey is low, the potential of dominant minerals and main minerals is not clear, especially the remote sensing geological research work is less. In this paper, the eastern part of the east Kunlun metallogenic belt is used as the study area. With the help of three kinds of remote sensing images of different scales, the information extraction of linear ring structure is emphasized. In addition, the information of metal mineralization alteration is extracted by remote sensing technology, and the geophysical and chemical data are combined. Based on the model of remote sensing prospecting, the mineral prediction of Fe _ (Cu) ore is studied. In this paper, we have obtained the following achievements and understandings: (1) collect the mineral data of iron, copper and nickel ore spots and mineralization points in the eastern section of the East Kunlun metallogenic belt, which are mainly ore-controlling structures and favorable to metallogenic strata and rock masses. 1: 1 million aeromagnetic anomaly gravity geophysical data, regional geochemical data, etc., data types related to vectors, grids, graphs, etc. In this paper, the Land Sat-8 OLI image data of the research area are obtained, and the VV polarized Radar Sat-2 image data are obtained. Three kinds of remote sensing images of different scales are preprocessed on the platform of ENVI4.8 software. The hydroxyl and iron mineralization alteration information was extracted from Land Sat-8 OLI image, and the Land Sat-8 OLI band combination was selected to extract the structural information of the study area. The noise reduction of Radar Sat-2 images is processed by eight different filtering algorithms. The quantitative evaluation of the filtering results shows that the Gamma-Map algorithm is the optimal filtering algorithm in this experiment. It uses Land Sat-8 OLI image data and uses two different structural enhancement methods to highlight the construction information. According to the three-dimensional image of the study area, it is used to extract the fault information of the study area. The GF-1 image and the Radar Sat-2 image data are fused by PCA-BroveyHPF and wavelet transform. After the Land Sat-8 OLI image is fused, the ring structure information which can not be recognized on the Land Sat-8 OLI image is highlighted. Based on the abnormal information of remote sensing and the interpretation results of remote sensing, the paper uses the pseudocolor combination image of GF-1 's 4 / 3 / 2 band to extract the linear structure of the key area. Based on the synthetic data of ground, object and chemical, and according to the model of remote sensing prospecting, the paper makes a comprehensive analysis. A study on the metallogenic prediction of Feti-Cu in the study area was carried out and a metallogenic prediction map was drawn up. Finally, one target area of grade 鈪，

本文編號：1819947