A review of image fusion techniques for pan-sharpening of high-resolution satellite imagery

被引:99
|
作者
Javan, Farzaneh Dadrass [1 ,2 ]
Samadzadegan, Farhad [1 ]
Mehravar, Soroosh [1 ]
Toosi, Ahmad [1 ]
Khatami, Reza [3 ]
Stein, Alfred [2 ]
机构
[1] Univ Tehran, Coll Engn, Sch Surveying & Geospatial Engn, POB 11155-4563, Tehran 1439957131, Iran
[2] Univ Twente, Fac Geoinformat Sci & Earth Observat ITC, NL-7522 NB Enschede, Netherlands
[3] Univ Florida, Dept Geog, Gainesville, FL 32611 USA
关键词
Image fusion; Pan-sharpening; Spectral and spatial quality; WAVELET TRANSFORM; PANSHARPENING METHODS; INTENSITY MODULATION; LANDSAT TM; QUALITY; MULTIRESOLUTION; ALGORITHMS; REGRESSION; TRADEOFF; DETAILS;
D O I
10.1016/j.isprsjprs.2020.11.001
中图分类号
P9 [自然地理学];
学科分类号
0705 ; 070501 ;
摘要
Pan-sharpening methods are commonly used to synthesize multispectral and panchromatic images. Selecting an appropriate algorithm that maintains the spectral and spatial information content of input images is a challenging task. This review paper investigates a wide range of algorithms, including 41 methods. For this purpose, the methods were categorized as Component Substitution (CS-based), Multi-Resolution Analysis (MRA), Variational Optimization-based (VO), and Hybrid and were tested on a collection of 21 case studies. These include images from WorldView-2, 3 & 4, GeoEye-1, QuickBird, IKONOS, KompSat-2, KompSat-3A, TripleSat, Pleiades-1, Pleiades with the aerial platform, and Deimos-2. Neural network-based methods were excluded due to their substantial computational requirements for operational mapping purposes. The methods were evaluated based on four Spectral and three Spatial quality metrics. An Analysis Of Variance (ANOVA) was used to statistically compare the pan-sharpening categories. Results indicate that MRA-based methods performed better in terms of spectral quality, whereas most Hybrid-based methods had the highest spatial quality and CS-based methods had the lowest results both spectrally and spatially. The revisited version of the Additive Wavelet Luminance Proportional Pan-sharpening method had the highest spectral quality, whereas Generalized IHS with Best Trade-off Parameter with Additive Weights showed the highest spatial quality. CS-based methods generally had the fastest run-time, whereas the majority of methods belonging to MRA and VO categories had relatively long run times.
引用
收藏
页码:101 / 117
页数:17
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