查詢結果分析
相關文獻
- ADS-40數值航照影像中雲蔽區多重階層式資訊還原模式之研究--以濁水溪農業區為例
- 數位影像還原技術及其在刑事鑑識上之應用
- 影像還原技術原理概述
- Histogram-Based Adaptive Neuro_Fuzzy Filter for Image Restoration
- Restoration of Noisy Image Sequences Using Markov Random Fields
- 利用差動共焦顯微術達到超越繞射極限的橫向解析率
- 一個錯誤恢復編碼技術植基於自我隱藏與分類式編碼簿之邊緣吻合向量量化於JPEG影像傳輸
- 淺談遺體修復技術臨床發展趨勢(2)--影像還原技術於顱顏修復的應用
- 內螺紋自動檢測機臺之設計研發
- 利用雙生網點隱藏原稿資訊之影像還原模式
頁籤選單縮合
題 名 | ADS-40數值航照影像中雲蔽區多重階層式資訊還原模式之研究--以濁水溪農業區為例=Evolving a Cloud Removal Model for Multi-spectral Aerial Photos of ADS-40 Images--Case Study in Agricultural Areas of Choshui River Basin |
---|---|
作 者 | 雷祖強; 李哲源; | 書刊名 | 航測及遙測學刊 |
卷 期 | 17:4 2013.12[民102.12] |
頁 次 | 頁237-250 |
分類號 | 440.98 |
關鍵詞 | 大氣灰霾; 雲蔽效應去除; 影像還原; 影像品質評估指標; Atmospheric haze; Remove could effect; Image restoration; Image quality assessment index; |
語 文 | 中文(Chinese) |
中文摘要 | 遙感探測影像主要透過飛行載具於地表高空進行拍攝,因此拍攝時易受大氣影響,例如雲(Cloud)或霧(Haze)。本研究以2 期ADS-40 數值航空攝影影像為研究材料,以彰化縣濁水溪農田區為測試範圍,將影像受雲霧遮蔽區域(以下簡稱雲蔽區)分成「厚雲區」(Thick cloud zone)、「薄雲區」(Haze zone)、「陰影區」(Shadow zone)及不受雲蔽影響的「無雲區」等四大區域,針對不同雲蔽區進行1. 不同時期影像之厚雲資訊補遺。2.暗原色先驗演算法(Dark Channel Prior Algorithm)之薄雲區資訊反演。3.Retinex 演算法進行陰影區資訊增揚運算,本研究評估方法則以影像分析常用的均方根誤差(Root Mean Square Error, RMSE)、峰值訊噪比(Peak Signal to Noise Ratio, PSNR)及結構相似性品質指標(Structure Similarity Image Measurement, SSIM)進行雲蔽區影像處理前、後之影像品質評估比較。根據評估結果顯示,雲蔽影像經過本研究模式運算後,RMSE 從88.02 降至17.63,PSNR 從9.24 提升至23.20,而SSIM 也從0.74 提升至0.97。整體而言,本研究所提出之雲蔽區多重階層式資訊還原模式確實能e夠降低雲蔽效應,提升影像品質與可視度。 |
英文摘要 | Generally, atmospheric haze has important ramifications in remote sensing data. In this work,the theaerial photographs of ADS-40 image at Choshui River agricultural areas are divided into 4 regions which are thick clouds region, haze region, shadow region and normal region through a hybrid region detect model of ATSA (Automated Threshold Selection Algorithm) and MLC (Maximum Likelihood Classification) methods, respectively. In addition, for the different regions of atmospheric haze effects, this work will also develop an efficient hierarchical algorithm for mixed modes which are correct and verifies the image properly. These modes are as below: 1. Mosaic thick cloud region: prophase images provides new information for thick cloud region; 2. Restore haze region: spectral information was invested by DCPA (Dark Channel Prior Algorithm) method, and 3. Enhance shadow region: the Retinex algorithms were applied to enhance these shadow regions. After that, this work check the original and processed image quality assessments of this research processing with RMSE (Root Mean Square Error), PSNR (Peak Signal to Noise Ratio) and SSIM (Structure Similarity Image Measurement) indicators, respectively. It shows that the processed image with this hierarchical mixed mode of this study is better than those of the original image of ADS-40 aerial photographs. The index of RMSE reduced from 88.02 (original image) to 17.63 (processed image), PSNR index value improved from 9.24 (original image) to 23.20 (processed image) and SSIM value upgraded from 0.74 (original image) to 0.97 (processed image), respectively. Finally, in this study, the outcomes showed that the hierarchical mixed mode for image processing procedure exceeds that of the original image of agricultural areas evaluation from ADS-40 image. |
本系統中英文摘要資訊取自各篇刊載內容。