上海翻譯公司完成林業(yè)區(qū)域英文翻譯
時間:2020-09-25 08:16 來源:未知 作者:dl 點擊:次
上海翻譯公司完成林業(yè)區(qū)域英文翻譯
2.3.4.2 Remote sensing image classificationRemote sensing image interpretation is the process of analysis, reasoning and judgment based on feature information of various identify targets provided by remote sensing images, to identify the target surface features or phenomena, so as to obtain information target surface features. This study extracts remote sensing image information by combining computer initial classification and visual interpretation.The computer automatically classification is completed by combining ERDAS and eCognition. Based on classification techniques of spectral information facing pixel, ERDAS can extract vegetation information small surface features very well, and conduct image processing with unsupervised method (examples shown in Figure 2-6). Multi-scale image segmentation technology of eCognition makes up for defects on classification scale of remote sensing classification software, which is based on traditional spectral information facing pixel. 2.3.4.3 Visual interpretation Modify initial classification results of remote sensing, and perfect land that are wrongly classified or left out. Specific operation is to identify target lands according to interpretation signs of images (Table 2-1) , such as hue (color), shape, location, size, shadow, texture, and other indirect signs and personal familiarity with the distribution of land in the region. At the same time, draw changed land type along the edge of image feature accurately (boundary should be strictly closed). The minimum unit of target surface features interpretation and extraction: according to general requirements, variable land should be larger than 3 × 3 pixels, the minimum width of shorter edge of pattern spot two pixels. The interpretation accuracy of pattern spot elements should be > 85.0%, visual interpretation line tracing accuracy should be two pixel points and keep mellow. Diagram shown in Figure2-7
Figure 2-7 Picture of visual interpretation 2.3.4.5 Accuracy test Conduct accuracy test on remote sensing classification results by fixed sample location data of continuous forest inventory in 1979 and 1992. The distribution of MSS, TM testing points are shown in Figure 2-8 and Figure 2-9. Accuracy of remote sensing classification is tested through the establishment of error matrix of land use types. It can be seen from Table 2-2 and 2-3 that the classification accuracy of woodland and farmland is higher, while that of construction land and unused land is lower, because the minimum pattern spot of interpretation results is set to 90 * 90m2, resulting in information lost of construction land, the area of which is smaller than the set value; the reason that classification accuracy of unused land is low is because the definitions of unused land are different in two classification systems. Table 2-2 Error matrix of MSS classification
Table 2-3 Error matrix of TM classification
2.4 Other statistics and survey data Including statistical data of afforestation, forest management and other forestry activities, and statistical data of afforestation, harvesting, disease and pest, fire, etc. in forestry statistical yearbook (1978-2012), as well as statistical data of protection forest project in the upper reaches of the Yangtze River, natural forest protection project, reforestation project etc. 2.5 Land use transfer matrix Land use transfer matrix obtained from the above data. For methodology of the first and second level, the matrix is land type transfer matrix during each inventory, for methodology of the third level, annual transfer matrix can be obtained. As an example, Table 2-4 shows land type transfer matrix during the 2007-2012 inventory. 世聯(lián)翻譯-讓世界自由溝通！專業(yè)的全球語言翻譯供應商，上海翻譯公司專業(yè)品牌。絲路沿線56種語言一站式翻譯與技術解決方案，專業(yè)英語翻譯、日語翻譯等文檔翻譯、同傳口譯、視頻翻譯、出國外派服務，加速您的全球交付。 世聯(lián)翻譯公司在北京、上海、深圳等國際交往城市設有翻譯基地，業(yè)務覆蓋全國城市。每天有近百萬字節(jié)的信息和貿易通過世聯(lián)走向全球！積累了大量政商用戶數(shù)據，翻譯人才庫數(shù)據，多語種語料庫大數(shù)據。世聯(lián)品牌和服務品質已得到政務防務和國際組織、跨國公司和大中型企業(yè)等近萬用戶的認可。 |
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