查詢結果分析
相關文獻
- Integration of SPOT and SAR Fractal Images for Terrain Cover Classification
- 碎形理論與波浪理論的應用分析
- 以碎形為基礎之地形模擬與分析
- Fractal Image Coding Using Projection-Based Classification and Variable Shape Matching
- 以Cantor集觀念解析水文變量在時間尺度上之行為
- A Maximum Likelihood Estimator and Fractal Analysis of Medical Images
- Fractal Extraction from a Mixed FBM Signal Using Discrete Wavelet Transforms
- 地理資訊系統和碎形維度於森林地景空間變化上之應用
- Spatial Variation of Fractal Parameters and Its Geological Implications
- The Potential Flow Field Generated by the Flanged Hood Openings of Various Shapes
頁籤選單縮合
題 名 | Integration of SPOT and SAR Fractal Images for Terrain Cover Classification=結合SPOT與SAR碎形影像於土地覆蓋分類的應用 |
---|---|
作 者 | 曾裕強; 陳錕山; | 書刊名 | 中國工程學刊 |
卷 期 | 20:5 1997.09[民86.09] |
頁 次 | 頁593-602 |
分類號 | 440.98 |
關鍵詞 | 碎形; 幾何校正; 輻射校正; Fractal; Geometric calibration; Radiometric calibration; |
語 文 | 英文(English) |
中文摘要 | 本文利用SPOT與SAR碎形影像的結合應用於土地覆蓋的分類。由於SAR影像的特 殊幾何特性,在與其他形式的影像正確套合前,SAR影像需要進行特殊的幾何校正。本文中, 我們發展了一套簡單的模式來補償SAR影像中的高度效應,並予以驗證。除了幾何校正外, 我們也進行了包括天線增益圖樣、區域入射角變化、距離延展補償等三項修正的輻射校正。 我們發現碎形影像大大地改善了非均質區域如都市區的分類能力,而在均質區域如開闊水域 的準確度則會稍微降低,但整體的分類效能仍優於只使用SPOT影像的結果。實驗證實SPOT 與SAR碎形影像的結合在土地覆蓋的分類上市是一方便又有效的方法。 |
英文摘要 | This paper presents the terrain cover classification from combining SPOT with SAR fractal images. Due to its special geometric characteristics, SAR image needs special geometry ratification before the process of overlaing with other types of imagery is proper and feasible. In this study, we intend to develop and verify a simple model to compensate for the elevation effect in the SAR image. Besides, operations of radiometric calibrations are necessary to perform three-term corrections including elevation antenna gain pattern, local incident angle variations, and range spreading compensation. The important finding is that fractal information significantly improves the discrimination capability of the heterogeneous area such as in urban regions, while it slightly degrades accuracy for homogeneous areas, such as open water. The overall classification performance can make to results that are much superior to those in production by use of SPOT image only. The integration of SAR fractal image and SPOT data for terrain cover classification proves to be effective and efficient. |
本系統中英文摘要資訊取自各篇刊載內容。