本文關(guān)鍵詞： 面向?qū)ο蠓椒?水邊線(xiàn)提取 岸線(xiàn)類(lèi)型 “高分一號(hào)”衛(wèi)星 遙感應(yīng)用　出處：《航天返回與遙感》2017年04期 　論文類(lèi)型：期刊論文

【摘要】：水邊線(xiàn)提取對(duì)揭示沿海地區(qū)自然資源管理狀況和人工海域使用程度具有重要的指示作用。文章以津冀地區(qū)沿海城市海岸帶為例,選取"高分一號(hào)"衛(wèi)星數(shù)據(jù)為遙感數(shù)據(jù)源,首先對(duì)數(shù)據(jù)進(jìn)行了輻射校正、幾何校正、影像融合和裁剪等處理,然后采用面向?qū)ο蟮哪繕?biāo)提取技術(shù)自動(dòng)提取了研究區(qū)內(nèi)大范圍的水邊線(xiàn),并在充分了解不同海岸類(lèi)型的遙感解譯標(biāo)志的基礎(chǔ)上對(duì)提取的岸線(xiàn)進(jìn)行了分類(lèi)。結(jié)果顯示研究區(qū)的岸線(xiàn)類(lèi)型主要以砂礫質(zhì)岸線(xiàn)、養(yǎng)殖/鹽田岸線(xiàn)和港口碼頭岸線(xiàn)為主。在分類(lèi)結(jié)果的精度驗(yàn)證過(guò)程中,以與"高分一號(hào)"衛(wèi)星相近時(shí)期的亞米級(jí)遙感影像為底圖,以目視解譯的方式從中提取高精度的海岸線(xiàn),并將目視解譯的結(jié)果與從"高分一號(hào)"衛(wèi)星數(shù)據(jù)中提取到的岸線(xiàn)進(jìn)行對(duì)比。通過(guò)比較發(fā)現(xiàn),兩者位置、長(zhǎng)度等基本吻合,從而證明了該海岸線(xiàn)提取方法對(duì)高分辨率遙感影像的有效性。該方法為基于"高分一號(hào)"衛(wèi)星遙感數(shù)據(jù)進(jìn)行大范圍海岸的水邊線(xiàn)提取提供了技術(shù)支撐,也為實(shí)現(xiàn)中國(guó)海岸線(xiàn)的定期自動(dòng)更新奠定了基礎(chǔ)。
[Abstract]:The extraction of waterfront plays an important role in revealing the management of natural resources and the use of artificial sea areas in coastal areas. Taking the coastal zone of coastal cities in Tianjin-Hebei region as an example, the satellite data of "Gao Fen No. 1" is selected as the remote sensing data source. First of all, the data are processed with radiometric correction, geometric correction, image fusion and clipping, and then the wide range of water edges in the study area are automatically extracted by object oriented object extraction technology. The extracted shoreline was classified on the basis of fully understanding the remote sensing interpretation marks of different coastal types. The results showed that the main shoreline types in the study area were sandy and gravel shoreline. Farming / salt field shoreline and port wharf shoreline are dominant. In the process of accuracy verification of classification results, the high-precision shoreline is extracted from the sub-rice remote sensing images of the period close to the Gaofen 1 satellite as the base map, and the coastline is extracted by visual interpretation. The results of visual interpretation are compared with the shoreline extracted from Gaofen 1 satellite data. Through comparison, it is found that the positions and lengths of the two are basically consistent. It is proved that this method is effective for high resolution remote sensing images, and it provides technical support for the extraction of waterfront in a large area of coast based on the satellite remote sensing data of "Gao Fen 1". Also for the realization of China's coastline regular automatic updating laid the foundation.
【作者單位】： 山東科技大學(xué)測(cè)繪科學(xué)與工程學(xué)院;中國(guó)科學(xué)院遙感與數(shù)字地球研究所數(shù)字地球重點(diǎn)實(shí)驗(yàn)室;國(guó)家海洋技術(shù)中心;
【基金】：中國(guó)科學(xué)院“百人項(xiàng)目”(Y34005101A,Y2ZZ03101B) 中國(guó)科學(xué)技術(shù)部國(guó)家科技支撐計(jì)劃專(zhuān)題(2015BAB05B05-02) 高分辨率對(duì)地觀測(cè)系統(tǒng)重大專(zhuān)項(xiàng)(30-Y20A37-9003-15/17) 中國(guó)科學(xué)院重點(diǎn)部署項(xiàng)目(ZDRW-ZS-2016-6-1-3) 國(guó)家海洋局項(xiàng)目(Y21702011)
【分類(lèi)號(hào)】：P715.7

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