本文選題：遙感圖像融合 + IHS變換　； 參考：《浙江工商大學(xué)》2017年碩士論文

【摘要】：遙感圖像融合就是通過一定的算法去除兩幅或者多幅遙感圖像的冗余信息,同時保留源圖像的互補信息,并集中在同一幅新圖像的過程。隨著遙感技術(shù)的飛速發(fā)展,遙感圖像融合技術(shù)也具有較大的提升,融合效果也有很大的改善。為了達到更好的圖像融合效果,本文結(jié)合IHS變換和(?) trous小波變換,提出了一種改進二維經(jīng)驗?zāi)Ｊ椒纸獾倪b感圖像融合算法,既保留了圖像的光譜信息又提高了圖像紋理細節(jié)的表現(xiàn)能力。本文的主要研究工作和創(chuàng)新點如下:1、闡述了遙感圖像融合算法的研究背景與意義,指出了傳統(tǒng)圖像融合算法的優(yōu)缺點,重點研究了 IHS變換和(?) trous小波變換在遙感圖像預(yù)處理中的應(yīng)用問題。2、對經(jīng)驗?zāi)Ｊ椒纸獾母鱾�環(huán)節(jié)進行剖析研究,給出了實現(xiàn)步驟,并指出了經(jīng)驗?zāi)Ｊ椒纸獯嬖诘年P(guān)鍵問題。3、針對二維經(jīng)驗?zāi)Ｊ椒纸膺^程中的構(gòu)造圖像的上下包絡(luò)曲面、篩分過程的終止條件以及快速分解算法進行了改進,本文提出了一種改進經(jīng)驗?zāi)Ｊ椒纸馑惴?避免了處理大型線性系統(tǒng)的系數(shù)矩陣、求解大型線性系統(tǒng)方程組的困難,減少了運算量,降低了計算復(fù)雜度,更精準地結(jié)束篩分過程,提高了分解速度。4、針對遙感圖像融合,本文提出了一種基于改進經(jīng)驗?zāi)Ｊ椒纸馊诤纤惴?給出了具體的融合步驟,并進行了多組遙感圖像仿真實驗。從定性的主觀評價到定量的客觀評價分析了融合圖像,不僅保留了高光譜信息,還增強了圖像的空間分辨率,提高了圖像的清晰度以及紋理細節(jié)的表現(xiàn)能力,取得較好的融合效果。
[Abstract]:Remote sensing image fusion is the process of removing redundant information from two or more remote sensing images by a certain algorithm while preserving complementary information of the source image and concentrating on the same new image. With the rapid development of remote sensing technology, remote sensing image fusion technology has been greatly improved, and the fusion effect has been greatly improved. In order to achieve better image fusion effect, combining IHS transform and trous wavelet transform, an improved 2D empirical mode decomposition algorithm for remote sensing image fusion is proposed in this paper. It not only preserves the spectral information of the image, but also improves the performance of the texture details of the image. The main research work and innovation of this paper are as follows: 1. The background and significance of remote sensing image fusion algorithm are expounded, and the advantages and disadvantages of traditional image fusion algorithm are pointed out. The application of IHS transform and trous wavelet transform in remote sensing image preprocessing is studied in detail. The key problem of empirical mode decomposition (EMD) is pointed out in this paper. In view of the upper and lower envelope surfaces of the constructed images in the process of 2D EMD, the termination conditions of the screening process and the fast decomposition algorithm are improved. In this paper, an improved empirical mode decomposition algorithm is proposed, which avoids the difficulty of dealing with the coefficient matrix of large linear systems, solves the equations of large linear systems, reduces the computational complexity, and ends the screening process more accurately. For remote sensing image fusion, an improved empirical mode decomposition and fusion algorithm is proposed, and the specific fusion steps are given, and several remote sensing image simulation experiments are carried out. The fusion image is analyzed from qualitative subjective evaluation to quantitative objective evaluation. It not only preserves hyperspectral information, but also enhances the spatial resolution of the image, improves the sharpness of the image and the expressive ability of the texture details. Good fusion effect was achieved.
【學(xué)位授予單位】：浙江工商大學(xué)
【學(xué)位級別】：碩士
【學(xué)位授予年份】：2017
【分類號】：TP751

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