Improved IHS Pan-Sharpening Method Based on Adaptive Injection of À trous Wavelet Decomposition
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- 발행기관
- 보안공학연구지원센터(IJSIP) 바로가기
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- 간행물
- International Journal of Signal Processing, Image Processing and Pattern Recognition 바로가기
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- 통권
- Vol.9 No.3 (2016.03)바로가기
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- 페이지
- pp.291-308
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- 저자
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- 언어
- 영어(ENG)
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- URL
- https://www.earticle.net/Article/A271085
※ 원문제공기관과의 협약기간이 종료되어 열람이 제한될 수 있습니다.
원문정보
초록
- 영어
- The goal of pan-sharpening is to increase both spatial and spectral resolution of multispectral images. Intensity-hue-saturation (IHS) is one of widely efficient image fusion methods used in recent years. The drawback of IHS is spectral distortion in its results which can be improved by use of wavelet decomposition in IHS-based pan-sharpening methods. Employing Wavelet transforms enhances the resolution of Multispectral (MS) images while maintaining the spectral properties. This paper presents an adaptive IHS-based fusion using "à trous" wavelet (ATW) decomposition based on injecting weighted high frequency components of high spatial panchromatic (PAN) image obtained through à trous decomposition into resampled version of the MS images. Furthermore, the parameters used in the proposed algorithm are optimized through the genetic and Teaching-Learning algorithms. Finally, the proposed method is evaluated using the IKONOS and Landsat ETM+ images and compared to the other conventional methods to confirm its superiority.
목차
Abstract
1. Introduction
2. Overview of Some Pan-sharpening Methods
2.1. IHS Fusion based Method
2.2. Generalized IHS
2.3. PCA
2.4. Multi-resolution Analysis based Image Fusion Methods
2.5. Generalized Laplacian Pyramid with Spectral Distortion Minimization(GLP-SDM)
3. Optimization Methodology
3.1. Basic Concept of Genetic Algorithm
3.2. Using GA for Pan-sharpening
3.3. Basic Concept of Teaching-Learning Algorithm
3.4. Steps of TLBO
4. Improved Adaptive IHS-ATW Merger
5. Case Studies
5.1. Spectral and Spatial Quality Indicators
5.2. Case 1: IKONOS Dataset Simulation Results
5.3. Case 2: Landsat ETM+ Dataset Simulation Results
6. Conclusion
References
키워드
à trous wavelet genetic algorithm image fusion intensity-hue-saturation pan-sharpening저자
간행물 정보
발행기관
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- 발행기관명
- 보안공학연구지원센터(IJSIP) [Science & Engineering Research Support Center, Republic of Korea(IJSIP)]
- 설립연도
- 2006
- 분야
- 공학>컴퓨터학
- 소개
- 1. 보안공학에 대한 각종 조사 및 연구 2. 보안공학에 대한 응용기술 연구 및 발표 3. 보안공학에 관한 각종 학술 발표회 및 전시회 개최 4. 보안공학 기술의 상호 협조 및 정보교환 5. 보안공학에 관한 표준화 사업 및 규격의 제정 6. 보안공학에 관한 산학연 협동의 증진 7. 국제적 학술 교류 및 기술 협력 8. 보안공학에 관한 논문지 발간 9. 기타 본 회 목적 달성에 필요한 사업
간행물
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- 간행물명
- International Journal of Signal Processing, Image Processing and Pattern Recognition
- 간기
- 격월간
- pISSN
- 2005-4254
- 수록기간
- 2008~2016
- 십진분류
- KDC 505 DDC 605
이 권호 내 다른 논문 / International Journal of Signal Processing, Image Processing and Pattern Recognition Vol.9 No.3
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