畢業(yè)論文 基于tm數(shù)據(jù)的地物行星反射率計(jì)算.doc
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畢業(yè)論文 基于tm數(shù)據(jù)的地物行星反射率計(jì)算,基于tm數(shù)據(jù)的地物行星反射率計(jì)算全文20頁(yè)計(jì)算方法新穎準(zhǔn)確指導(dǎo)教師評(píng)語(yǔ):該篇文章主要通過(guò)使用envi軟件對(duì)新疆和田綠洲landsat-7etm+圖像進(jìn)行了行星反射率的計(jì)算,重點(diǎn)敘述了行星反射率計(jì)算的原理方法和過(guò)程,并且對(duì)于圖像頭文件信息無(wú)法獲取時(shí)行星反射率的計(jì)算方法進(jìn)行了詳細(xì)論述。文章圖表清晰,文體格式符合要求;結(jié)構(gòu)合...
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基于TM數(shù)據(jù)的地物行星反射率計(jì)算
全文20頁(yè) 計(jì)算方法新穎準(zhǔn)確
指導(dǎo)教師評(píng)語(yǔ):
該篇文章主要通過(guò)使用ENVI軟件對(duì)新疆和田綠洲landsat-7ETM+圖像進(jìn)行了行星反射率的計(jì)算,重點(diǎn)敘述了行星反射率計(jì)算的原理方法和過(guò)程,并且對(duì)于圖像頭文件信息無(wú)法獲取時(shí)行星反射率的計(jì)算方法進(jìn)行了詳細(xì)論述。
文章圖表清晰,文體格式符合要求;結(jié)構(gòu)合理,條理清晰,文理通順,觀點(diǎn)及所得出的結(jié)論正確,具有一定的應(yīng)用價(jià)值;論證充分,設(shè)計(jì)合理,內(nèi)容與專業(yè)要求相吻合,理論與實(shí)際聯(lián)系緊密;有綜合歸納資料的能力,有自己的見(jiàn)解。
該篇文章參考文獻(xiàn)數(shù)量不夠豐富,應(yīng)該擴(kuò)大相關(guān)文獻(xiàn)的閱讀量,來(lái)豐富自己的文章,文章中有少量詞匯使用不夠恰當(dāng)希望以后多注意此類細(xì)節(jié)。
該生已按期完成畢業(yè)論文任務(wù)書(shū)規(guī)定的內(nèi)容,論文達(dá)到了本科生畢業(yè)論文的水平。
[5] A.Rosenfeld and Avinash C.Kak,Digital Picture Processing,Vol.Ⅰ-Ⅱ,Academic Press,New York,1982.
[6] M. A. GILABERT, C. CONESE and F. MASELLI. An atmospheric correction method for the automatic retrieval of surface reflectance from TM image[J]. International Journal of Remote Sensing,1994,15(10):2065-2086.
[7] 孫治安,翁篤鳴.青藏高原地區(qū)地表及行星反射率[J].應(yīng)用氣象學(xué)報(bào).1994,4(5):98-103.
[8] 張萬(wàn)良,劉德長(zhǎng).衛(wèi)星遙感及其應(yīng)用的發(fā)展態(tài)勢(shì)[J],地質(zhì)科學(xué),2005,22(1),58-62.
[9] 陳華. 和田綠洲研究[M].烏魯木齊:新疆人民出版社,1988,69-71.
摘 要
由于植被遙感應(yīng)用定量化和監(jiān)測(cè)等的需求,光學(xué)遙感的輻射校正更加受到重視。傳感器原始記錄信號(hào)反演為行星反射率對(duì)于遙感定量化應(yīng)用非常重要。傳感器接收到的輻射,包括地面反射光譜信息,大氣輻射傳輸效應(yīng)引起的地面反射輻照度的變化信息和大氣反射光譜信息。影像上灰度值的大小與地形太陽(yáng)光入射角、天空光散射、傳感器觀測(cè)角等有關(guān),剔除這些干擾因素,將遙感影像原始DN值數(shù)據(jù)轉(zhuǎn)換為反射率,這對(duì)于正確利用遙感數(shù)據(jù)進(jìn)行定量分析、信息提取、遙感應(yīng)用十分關(guān)鍵[1]。行星反射率一般由圖像頭文件獲取相關(guān)參數(shù)計(jì)算得出,但通常配準(zhǔn)后的圖像頭文件信息無(wú)法獲取,不能直接算出行星反射率。本文以新疆和田綠洲的Landsat-7衛(wèi)星ETM+圖像為試驗(yàn)區(qū),使用遙感軟件ENVI4.3采取先分波段求出光譜輻射亮度,然后利用公式逐波段進(jìn)行行星反射率的計(jì)算方法對(duì)和田綠洲圖像進(jìn)行了行星反射率反演研究。
關(guān)鍵字:行星反射率、DN值、光譜信息、反演
ABSTRACT
Remote sensing of vegetation is developing into a highly quantitative science.However,some concepts and terms related to quantitative remote sensing are confusing for novices of this field.And To change the sensor’s signal to planetatry reflectance is very important for the application of quantitative remote se-nsing.The radiation of the platform received ,including ground reflectance spectrainformation, effect of atmospheric radiative transfer of irradiated ground reflectance changes in the information and reflection spectra of atmospheric information. The Gray values of the images are large or small lying on the sunlight angle,the terrains, the sky light scattering and the sensor observation angle. Netting out theseinterfering factors and changing the remote sensing images’ original data of t-he DN values to planetary reflectance is very important to the correcting use of remote sensing data for quantitative analysis, the information extraction,the remote sensing applications.Generally the image’s reflectance is calculated fromthe first access to document’s relevant parameters. But usually after the registration of the first document image we can’t gain the information of the relevantparameters. So we can’t directly calculate the reflectivity. In this article we select the hetian’Landsat7 ETM+ satellite images as the test area. Use the remote sensing software ENVI4.3 to calculate the planetary reflectance.The method is that fist calculating the spectral radiance of each band and then using the reflectivity calculated formula for each band planetary reflectance.With this method ,in this article we have studied the hetian Oasis image’s planetary reflectance.
Key word: Planetary reflectance; DN value; Spectrum information ; Retrieval
目 錄
1 引言 1
1.1 研究意義 1
1.2 計(jì)算方法研究進(jìn)展 1
2 TM影像及其數(shù)據(jù)預(yù)處理 1
2.1 關(guān)于TM的介紹 1
2.2 數(shù)據(jù)預(yù)處理 2
3 行星反射率計(jì)算原理及過(guò)程 3
3.1 光譜輻射亮度的計(jì)算 4
3.2 行星反射率的計(jì)算 6
4 行星反射率計(jì)算實(shí)例 6
4.1 研究區(qū)概況 6
4.1.1 地理位置 6
4.1.2 氣候特征 7
4.2 數(shù)據(jù)來(lái)源和處理方法 7
4.2.1 圖像的幾何精校正 7
4.3 計(jì)算光譜輻射亮度 8
4.4 行星反射率的計(jì)算 9
4.5 行星反射率計(jì)算結(jié)果統(tǒng)計(jì) 10
5 結(jié)語(yǔ) 13
致謝 14
參考文獻(xiàn) 15
部分參考文獻(xiàn)
[3] 池宏康,周廣勝,許振柱.表觀反射率及其在植被遙感中的應(yīng)用[J].植物生態(tài)學(xué)2005,29(1):74-80.
[4] Griend,1996. Introductory Digital Image Processing,a Remote Sensing Perspective.Prentice Hall,Upper Saddle River,New Jersey,2nd ED,197-279.
[5] A.Rosenfeld and Avinash C.Kak,Digital Picture Processing,Vol.Ⅰ-Ⅱ,Academic Press,New York,1982.
全文20頁(yè) 計(jì)算方法新穎準(zhǔn)確
指導(dǎo)教師評(píng)語(yǔ):
該篇文章主要通過(guò)使用ENVI軟件對(duì)新疆和田綠洲landsat-7ETM+圖像進(jìn)行了行星反射率的計(jì)算,重點(diǎn)敘述了行星反射率計(jì)算的原理方法和過(guò)程,并且對(duì)于圖像頭文件信息無(wú)法獲取時(shí)行星反射率的計(jì)算方法進(jìn)行了詳細(xì)論述。
文章圖表清晰,文體格式符合要求;結(jié)構(gòu)合理,條理清晰,文理通順,觀點(diǎn)及所得出的結(jié)論正確,具有一定的應(yīng)用價(jià)值;論證充分,設(shè)計(jì)合理,內(nèi)容與專業(yè)要求相吻合,理論與實(shí)際聯(lián)系緊密;有綜合歸納資料的能力,有自己的見(jiàn)解。
該篇文章參考文獻(xiàn)數(shù)量不夠豐富,應(yīng)該擴(kuò)大相關(guān)文獻(xiàn)的閱讀量,來(lái)豐富自己的文章,文章中有少量詞匯使用不夠恰當(dāng)希望以后多注意此類細(xì)節(jié)。
該生已按期完成畢業(yè)論文任務(wù)書(shū)規(guī)定的內(nèi)容,論文達(dá)到了本科生畢業(yè)論文的水平。
[5] A.Rosenfeld and Avinash C.Kak,Digital Picture Processing,Vol.Ⅰ-Ⅱ,Academic Press,New York,1982.
[6] M. A. GILABERT, C. CONESE and F. MASELLI. An atmospheric correction method for the automatic retrieval of surface reflectance from TM image[J]. International Journal of Remote Sensing,1994,15(10):2065-2086.
[7] 孫治安,翁篤鳴.青藏高原地區(qū)地表及行星反射率[J].應(yīng)用氣象學(xué)報(bào).1994,4(5):98-103.
[8] 張萬(wàn)良,劉德長(zhǎng).衛(wèi)星遙感及其應(yīng)用的發(fā)展態(tài)勢(shì)[J],地質(zhì)科學(xué),2005,22(1),58-62.
[9] 陳華. 和田綠洲研究[M].烏魯木齊:新疆人民出版社,1988,69-71.
摘 要
由于植被遙感應(yīng)用定量化和監(jiān)測(cè)等的需求,光學(xué)遙感的輻射校正更加受到重視。傳感器原始記錄信號(hào)反演為行星反射率對(duì)于遙感定量化應(yīng)用非常重要。傳感器接收到的輻射,包括地面反射光譜信息,大氣輻射傳輸效應(yīng)引起的地面反射輻照度的變化信息和大氣反射光譜信息。影像上灰度值的大小與地形太陽(yáng)光入射角、天空光散射、傳感器觀測(cè)角等有關(guān),剔除這些干擾因素,將遙感影像原始DN值數(shù)據(jù)轉(zhuǎn)換為反射率,這對(duì)于正確利用遙感數(shù)據(jù)進(jìn)行定量分析、信息提取、遙感應(yīng)用十分關(guān)鍵[1]。行星反射率一般由圖像頭文件獲取相關(guān)參數(shù)計(jì)算得出,但通常配準(zhǔn)后的圖像頭文件信息無(wú)法獲取,不能直接算出行星反射率。本文以新疆和田綠洲的Landsat-7衛(wèi)星ETM+圖像為試驗(yàn)區(qū),使用遙感軟件ENVI4.3采取先分波段求出光譜輻射亮度,然后利用公式逐波段進(jìn)行行星反射率的計(jì)算方法對(duì)和田綠洲圖像進(jìn)行了行星反射率反演研究。
關(guān)鍵字:行星反射率、DN值、光譜信息、反演
ABSTRACT
Remote sensing of vegetation is developing into a highly quantitative science.However,some concepts and terms related to quantitative remote sensing are confusing for novices of this field.And To change the sensor’s signal to planetatry reflectance is very important for the application of quantitative remote se-nsing.The radiation of the platform received ,including ground reflectance spectrainformation, effect of atmospheric radiative transfer of irradiated ground reflectance changes in the information and reflection spectra of atmospheric information. The Gray values of the images are large or small lying on the sunlight angle,the terrains, the sky light scattering and the sensor observation angle. Netting out theseinterfering factors and changing the remote sensing images’ original data of t-he DN values to planetary reflectance is very important to the correcting use of remote sensing data for quantitative analysis, the information extraction,the remote sensing applications.Generally the image’s reflectance is calculated fromthe first access to document’s relevant parameters. But usually after the registration of the first document image we can’t gain the information of the relevantparameters. So we can’t directly calculate the reflectivity. In this article we select the hetian’Landsat7 ETM+ satellite images as the test area. Use the remote sensing software ENVI4.3 to calculate the planetary reflectance.The method is that fist calculating the spectral radiance of each band and then using the reflectivity calculated formula for each band planetary reflectance.With this method ,in this article we have studied the hetian Oasis image’s planetary reflectance.
Key word: Planetary reflectance; DN value; Spectrum information ; Retrieval
目 錄
1 引言 1
1.1 研究意義 1
1.2 計(jì)算方法研究進(jìn)展 1
2 TM影像及其數(shù)據(jù)預(yù)處理 1
2.1 關(guān)于TM的介紹 1
2.2 數(shù)據(jù)預(yù)處理 2
3 行星反射率計(jì)算原理及過(guò)程 3
3.1 光譜輻射亮度的計(jì)算 4
3.2 行星反射率的計(jì)算 6
4 行星反射率計(jì)算實(shí)例 6
4.1 研究區(qū)概況 6
4.1.1 地理位置 6
4.1.2 氣候特征 7
4.2 數(shù)據(jù)來(lái)源和處理方法 7
4.2.1 圖像的幾何精校正 7
4.3 計(jì)算光譜輻射亮度 8
4.4 行星反射率的計(jì)算 9
4.5 行星反射率計(jì)算結(jié)果統(tǒng)計(jì) 10
5 結(jié)語(yǔ) 13
致謝 14
參考文獻(xiàn) 15
部分參考文獻(xiàn)
[3] 池宏康,周廣勝,許振柱.表觀反射率及其在植被遙感中的應(yīng)用[J].植物生態(tài)學(xué)2005,29(1):74-80.
[4] Griend,1996. Introductory Digital Image Processing,a Remote Sensing Perspective.Prentice Hall,Upper Saddle River,New Jersey,2nd ED,197-279.
[5] A.Rosenfeld and Avinash C.Kak,Digital Picture Processing,Vol.Ⅰ-Ⅱ,Academic Press,New York,1982.
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