本文關(guān)鍵詞：北京地區(qū)礦產(chǎn)資源開發(fā)狀況遙感監(jiān)測與分析　出處：《中國地質(zhì)大學(xué)(北京)》2017年碩士論文　論文類型：學(xué)位論文

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【摘要】：遙感技術(shù)已經(jīng)普遍應(yīng)用于礦產(chǎn)資源開發(fā)環(huán)境的調(diào)查與監(jiān)測中。本文的研究工作以“燕山成礦帶與云南南坪等重點礦集區(qū)礦山開發(fā)遙感調(diào)查與監(jiān)測”(1212010911097)、“京津地區(qū)礦山環(huán)境監(jiān)測”(1212011220062)和“京津地區(qū)礦產(chǎn)資源開發(fā)環(huán)境遙感監(jiān)測”(12120115060901)項目為依托,選擇北京地區(qū)為研究區(qū),對2010—2015年北京市6年的礦山開發(fā)狀況變化信息進行遙感提取,通過疊加礦山開發(fā)狀況變化信息獲取各年度礦山開發(fā)狀況專題圖層,開展了對北京地區(qū)礦產(chǎn)資源開發(fā)狀況的綜合分析和變化趨勢,取得了以下主要成果:1、論文立足于礦山開發(fā)狀況變化提取,通過歐氏空間距離法、主成分變換法和向量角法等方法對兩期遙感影像進行變化檢測實驗研究,在此基礎(chǔ)上通過選取礦山變化典型區(qū)域?qū)Σ煌兓瘷z測方法進行實驗對比分析,得出多波段主成分法是此實驗區(qū)最優(yōu)變化檢測方法。在此基礎(chǔ)上通過多波段主成分法檢測并提取北京市2010-2011、2011-2012、2012-2013、2013-2014、2014-2015年礦山開發(fā)狀況變化信息。2、論文在北京市礦山開發(fā)狀況變化信息提取基礎(chǔ)上,以2010年礦山開發(fā)狀況專題成果為底圖,依次反推得到2011年、2012年、2013年、2014年、2015年的北京市礦山開發(fā)狀況專題圖層,通過野外實地驗證和與以往成果對比分析進行各年度開發(fā)狀況提取結(jié)果的精度驗證,野外驗證的精度為80%,與以往成果對比分析中,金屬礦種提取總精度達到91%,非金屬礦種提取總精度為87%。3、論文對北京市2010-2015年的礦產(chǎn)資源開發(fā)狀況成果進行總結(jié)分析。分別從礦產(chǎn)資源開發(fā)狀況變化趨勢、違法區(qū)域分析、違法類型分析、違法主要礦種分析、違法開采方式分析、違法經(jīng)濟類型分析等多方面展開討論,系統(tǒng)的對北京市礦業(yè)開發(fā)秩序及發(fā)展態(tài)勢進行綜合分析,并且說明了造成這種趨勢的驅(qū)動力因素。在此基礎(chǔ)上為了確保北京市礦產(chǎn)資源的長久開采利用,提出了礦產(chǎn)資源可持續(xù)發(fā)展的建議。
[Abstract]:Remote sensing technology has been widely used in the investigation and monitoring of mineral resources exploitation environment. 1212010911097). The mining environment monitoring in Beijing-Tianjin area (1212011220062) and the remote sensing monitoring of mineral resources exploitation environment in Beijing-Tianjin area (12120115060901) are supported by the project. This paper selected Beijing as the research area to extract the information of mine development status change in Beijing from 2010 to 2015 by remote sensing. Through the superposition of the information of mine development situation change to obtain each year mine development situation thematic map layer, carried out the comprehensive analysis and change trend of the mineral resources development situation in Beijing area, obtained the following main achievements: 1. This paper is based on the mining development change extraction, through the Euclidean space distance method, principal component transformation and vector angle method to detect the changes of the two stages of remote sensing images. On this basis, by selecting the typical area of mine change, different change detection methods are compared and analyzed experimentally. The multi-band principal component method is the best change detection method in this experimental area. On the basis of this, the multi-band principal component method is used to detect and extract Beijing from 2010-2011 to 2011-2012. 2012-2013, 2013-2014, 2014-2015 mine development status change information .2. the paper on the basis of Beijing mining development status change information extraction. Taking the results of mine development in 2010 as the base map, the thematic maps of mining development in Beijing were obtained from 2011, 2012, 2012, #date鈪，

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