遙感模式識別 的英文怎麼說

中文拼音 [yáogǎnmóshìzhìbié]
遙感模式識別 英文
pattern recognition of remote sensing
  • 遙 : 形容詞（遙遠） distant; remote; far
  • 感 : Ⅰ動詞1 （覺得） feel; sense 2 （懷有謝意） be grateful; be obliged; appreciate 3 （感動） move; t...
  • 模 : 模名詞1. （模子） mould; pattern; matrix 2. （姓氏） a surname
  • 式 : 名詞1 （樣式） type; style 2 （格式） pattern; form 3 （儀式; 典禮） ceremony; ritual 4 （自然科...
  • 識 : 識Ⅰ動詞[書面語] （記） remember; commit to memory Ⅱ名詞1. [書面語] （記號） mark; sign 2. （姓氏） a surname
  • 別 : 別動詞[方言] （改變） change （sb. 's opinion）
  • 遙感 : [電子學] remote sense; remote sensing
  • 模式 : model; mode; pattern; type; schema
  • 識別 : 1 （辯別; 辯認） discriminate; distinguish; discern; tell the difference; spot 2 [計算機] identif...
  1. Based on the characteristics of vehicle structure, the paper presents the check technique for traffic vehicle from the remote sensing images, introduces the transformation process from the grey scale of image to the dual value image, and finally expounds the marginal check ( contour tracing ), image dividing, mode distinguishing and the vision of machine

    摘要在分析固定場景中車輛圖片結構特徵的基礎上，提出了從遙感圖中檢測車輛的方法，具體介紹了將遙感灰度圖像轉換為二值圖像，並進一步闡述了邊緣檢測（輪廊的跟蹤） 、圖像分割、模式識別、機器視覺等作用。
  2. The paper discuss the way to this question and want to explain the question by neural networks and ga with the help of projection arithmetic. the algorithm uses complexion model to detect karst object. first, the paper introduce the important of the research. then the paper understand the algorithm of patterm recognition and apply it to the images of remote sensing in jinping karst area

    因此，本文先歸納和分析了當前遙感圖象處理與模式識別的典型演算法，然後利用目前流行的神經網路與遺傳演算法結合高斯-克呂格投影等平差分析演算法進行遙感圖象中的巖溶地物信息模式識別。
  3. In this paper we studied the textural features extraction, remote sensing images classification and bp neural network techniques and their applications in the meteorological problems such as recognition of the cloud cluster feature, cloud - drift wind retrieval and heavy rain process analysis etc. to the question of the low precise recognition of satellite images by using spectral features, the proposed approach assumes to perform a multiple analysis based on an advisable decision - making model by first developing a mixed pixel model which was based on the textural features of images, and then improving the recognition intelligence

    本文對模式識別領域中的圖像紋理特徵提取、遙感圖像分類、 bp神經網路與紋理特徵組合分類等方法，以及它們在雲團屬性識別、雲跡風反演和暴雨過程分析等氣象問題中的應用作了研究。針對過去利用圖像光譜亮度特徵進行識別分析氣象衛星圖像準確度不高的問題，本文提出了發展混合像元的分解模型，以圖像的紋理特徵為基礎，提高圖像識別的智能水平，以實現在分析決策模型的支持下，快速準確的復合分析的解決方案。
  4. We use three types of algorithm : perceptron network, back - propagation ( b - p ) network and self - organizing feature maps ( som ) network. using the data in form of 64 - channel spectra as inputs, the ann presents the analysis and estimation results of the oil type on the basis of the type of background materials as outputs

    而在眾多的人工神經網路模型中，本論文選擇了三種模式識別應用最普遍效果相對較好的網路模型，即感知器、 bp 、 som網路，提出了適用於海面溢油激光遙感光譜的智能分析與識別的神經網路理論模型。
  5. The remote sensing imagery change detection can be categorized into three classes according to the aims of the processing : the change detection of the specific targets, such as changes of the airports, the bridges, the harbors, the missile bases etc. ; the change detection of the linear shape targets, such as changes of the roads, the airports, the buildings and the other linear targets whose outlines can be described by some lines ; the change detection of large area targets, such as the changes of the cover of some region, the development of the cities, the disaster evaluation of the floods and so on

    遙感圖像變化檢測方法（簡稱變化檢測）根據處理目標要求可以分為三類：特定類目標的變化檢測，如機場、橋梁、港口、導彈基地等目標的變化檢測；線性體目標的變化檢測，如道路、機場、橋梁和一般建築物等目標的變化檢測；大面積目標的變化檢測，如某地域的植被變化、城市的發展、洪水災害評估等。本文系統地研究了基於模式識別知識檢測特定類目標、線性體目標和大面積目標變化的變化檢測方法。
  6. Now the image of remote sensing has been used in many large project such as terrain sensing sound remote sensing and mapping, etc. we have paid attention to the arithmetic research of the image of remote sensing for a long time. but with the development of the technology in remote sensing and the popularization of the product of remote sensing, there are more and more images of remote sensing which are used in large project

    隨著3s技術的普及、性能的提高以及圖像處理和模式識別領域的研究逐步成熟，遙感圖象在大型工程中的應用越來越普及，因此對遙感圖象的演算法研究也正在受到越來越多的重視。對錦屏地區遙感圖象中的巖溶地物信息的判讀與分析，目前剛剛起步。
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