Landsat-8長條帶正射產品生成及系統(tǒng)實現
發(fā)布時間：2019-05-08 07:24
【摘要】：Landsat-8傳感器采用線陣推掃式成像,通過分景處理獲得標準景產品。面對大范圍遙感數據需求,長條帶數據具有更高的應用價值。長條帶數據的一般獲取方法是通過拼接標準景正射產品的方式,該方法處理效率不高,并且當條帶中某景由于云覆蓋量較多無法生產正射產品時,將無法通過多景拼接的方式生成相應的長條帶正射產品。針對此方法存在的問題,本文提出一種Landsat-8長條帶影像的正射校正方法。以長條帶影像為整體,通過控制點匹配、長條帶幾何精校正和正射校正三個部分,直接生成長條帶級別的正射校正產品。實驗結果表明,在15景的條帶長度范圍內,本文方法生成的長條帶正射產品的幾何精度在12m以內,滿足Landsat-8正射產品的精度要求,且處理效率相較于標準景拼接方式提升1倍左右;對于云覆蓋較多的景,利用連續(xù)三景進行長條帶正射校正,可以得到與標準景正射產品幾何精度相當的長條帶正射產品;使用Packbits無損壓縮方法在正確格式化輸出長條帶數據產品的同時,取得了良好的壓縮效果。證明本文提出的長條帶處理方法,在一定長度范圍內,能夠得到滿足Landsat-8正射產品的精度要求的長條帶正射產品,處理效率得到較大提高,且能夠有效克服傳統(tǒng)方法中云覆蓋情形對長條帶產品獲取的限制。
[Abstract]:Landsat-8 sensor adopts linear array push-broom imaging, and obtains standard scene products by dividing scene processing. In the face of large-scale remote sensing data demand, strip data has higher application value. The general method of obtaining long strip data is by splicing standard scene orthophoto products, which is not efficient, and when a scene in the strip is unable to produce orthophoto products due to more cloud coverage, Multi-scene splicing will not be able to generate the corresponding strip orthophoto products. In order to solve the problem of this method, a orthophotogenic correction method for Landsat-8 strip image is proposed in this paper. Taking the long strip image as a whole, by matching the control points, geometric precision correction and orthophotometry of the long strip, a long band level orthophoto correction product is directly generated. The experimental results show that the geometric accuracy of the long strip orthophoto product generated by this method is less than 12m in the band length range of 15 scenes, which meets the precision requirements of Landsat-8 orthophoto products. The processing efficiency is about 1 times higher than that of the standard scene splicing method. For the scene with more cloud cover, the long strip orthophoto correction can be obtained by using three consecutive scenes, and the long strip orthophoto product can be obtained which is equivalent to the geometric precision of the standard scene orthophoto product. Packbits lossless compression method is used to correctly format the output long strip data products, and achieve good compression effect at the same time. It is proved that the long strip processing method proposed in this paper can obtain the long strip orthophoto products which meet the precision requirements of Landsat-8 orthophoto products within a certain length range, and the processing efficiency is greatly improved. And it can effectively overcome the limitations of cloud coverage on strip product acquisition in traditional methods.
【學位授予單位】：中國科學院大學(中國科學院遙感與數字地球研究所)
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP75
本文編號：2471713
[Abstract]:Landsat-8 sensor adopts linear array push-broom imaging, and obtains standard scene products by dividing scene processing. In the face of large-scale remote sensing data demand, strip data has higher application value. The general method of obtaining long strip data is by splicing standard scene orthophoto products, which is not efficient, and when a scene in the strip is unable to produce orthophoto products due to more cloud coverage, Multi-scene splicing will not be able to generate the corresponding strip orthophoto products. In order to solve the problem of this method, a orthophotogenic correction method for Landsat-8 strip image is proposed in this paper. Taking the long strip image as a whole, by matching the control points, geometric precision correction and orthophotometry of the long strip, a long band level orthophoto correction product is directly generated. The experimental results show that the geometric accuracy of the long strip orthophoto product generated by this method is less than 12m in the band length range of 15 scenes, which meets the precision requirements of Landsat-8 orthophoto products. The processing efficiency is about 1 times higher than that of the standard scene splicing method. For the scene with more cloud cover, the long strip orthophoto correction can be obtained by using three consecutive scenes, and the long strip orthophoto product can be obtained which is equivalent to the geometric precision of the standard scene orthophoto product. Packbits lossless compression method is used to correctly format the output long strip data products, and achieve good compression effect at the same time. It is proved that the long strip processing method proposed in this paper can obtain the long strip orthophoto products which meet the precision requirements of Landsat-8 orthophoto products within a certain length range, and the processing efficiency is greatly improved. And it can effectively overcome the limitations of cloud coverage on strip product acquisition in traditional methods.
【學位授予單位】：中國科學院大學(中國科學院遙感與數字地球研究所)
【學位級別】：碩士
【學位授予年份】：2017
【分類號】：TP75
【相似文獻】
相關期刊論文 前1條
1 袁紅衛(wèi);閔志方;張建民;;三軸穩(wěn)定航測正射云臺設計與實現[J];電光與控制;2013年06期
相關碩士學位論文 前3條
1 楊森;Landsat-8長條帶正射產品生成及系統(tǒng)實現[D];中國科學院大學(中國科學院遙感與數字地球研究所);2017年
2 閻孟冬;基于Landsat-8衛(wèi)星影像數據的清河水庫水質反演模型研究[D];沈陽農業(yè)大學;2016年
3 武笑天;基于高分一號和Landsat-8的昌吉市小麥面積提取研究[D];新疆農業(yè)大學;2016年
，本文編號：2471713
本文鏈接：http://www.sikaile.net/guanlilunwen/gongchengguanli/2471713.html
