scholarly journals STANDARDIZING QUALITY ASSESSMENT OF FUSED REMOTELY SENSED IMAGES

2017 ◽  
Vol XLII-2/W7 ◽  
pp. 863-869 ◽  
Author(s):  
C. Pohl ◽  
J. Moellmann ◽  
K. Fries
Keyword(s):  
Remote Sensing ◽  
Image Quality ◽  
Image Fusion ◽  
Quality Assessment ◽  
Quantitative Assessment ◽  
Visual Assessment ◽  
Future Research ◽  
Visual Interpretation ◽  
Fused Image ◽  
The University

The multitude of available operational remote sensing satellites led to the development of many image fusion techniques to provide high spatial, spectral and temporal resolution images. The comparison of different techniques is necessary to obtain an optimized image for the different applications of remote sensing. There are two approaches in assessing image quality: 1. Quantitatively by visual interpretation and 2. Quantitatively using image quality indices. However an objective comparison is difficult due to the fact that a visual assessment is always subject and a quantitative assessment is done by different criteria. Depending on the criteria and indices the result varies. Therefore it is necessary to standardize both processes (qualitative and quantitative assessment) in order to allow an objective image fusion quality evaluation. Various studies have been conducted at the University of Osnabrueck (UOS) to establish a standardized process to objectively compare fused image quality. First established image fusion quality assessment protocols, i.e. Quality with No Reference (QNR) and Khan's protocol, were compared on varies fusion experiments. Second the process of visual quality assessment was structured and standardized with the aim to provide an evaluation protocol. This manuscript reports on the results of the comparison and provides recommendations for future research.

scholarly journals A REVIEW ON SPATIAL QUALITY ASSESSMENT METHODS FOR EVALUATION OF PAN-SHARPENED SATELLITE IMAGERY

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 255-261
Author(s):  
F. Dadras Javan ◽  
F. Samadzadegan ◽  
S. Mehravar ◽  
A. Toosi
Keyword(s):  
Remote Sensing ◽  
Quality Assessment ◽  
Satellite Imagery ◽  
Urban Areas ◽  
Large Scale ◽  
Spatial Distortion ◽  
Sensing Applications ◽  
Fused Image ◽  
Spatial Quality

Abstract. Nowadays, high-resolution fused satellite imagery is widely used in multiple remote sensing applications. Although the spectral quality of pan-sharpened images plays an important role in many applications, spatial quality becomes more important in numerous cases. The high spatial quality of the fused image is essential for extraction, identification and reconstruction of significant image objects, and will result in producing high-quality large scale maps especially in the urban areas. This paper introduces the most sensitive and effective methods in detecting the spatial distortion of fused images by implementing a number of spatial quality assessment indices that are utilized in the field of remote sensing and image processing. In this regard, in order to recognize the ability of quality assessment indices for detecting the spatial distortion quantity of fused images, input images of the fusion process are affected by some intentional spatial distortions based on non-registration error. The capabilities of the investigated metrics are evaluated on four different fused images derived from Ikonos and WorldView-2 initial images. Achieved results obviously explicate that two methods namely Edge Variance Distortion and the spatial component of QNR metric called Ds are more sensitive and responsive to the imported errors.

scholarly journals A CRITICAL REVIEW OF QUALITY ASSESSMENT PROTOCOLS IN PAN-SHARPENING

2019 ◽  
Vol XLII-4/W18 ◽  
pp. 13-18
Author(s):  
S. Aghapour Maleki ◽  
H. Ghassemian
Keyword(s):  
Remote Sensing ◽  
High Resolution ◽  
Quality Assessment ◽  
Quantitative Assessment ◽  
Critical Survey ◽  
Physical Constraints ◽  
Qualitative And Quantitative ◽  
Satellite Sensors ◽  
Physical Limitations ◽  
Quantitative Assessments

Abstract. Although vast amounts of pan-sharpening methods have been proposed to date, there has been relatively little published on the topic of qualitative and quantitative assessment of the pan-sharpened multispectral (MS) data. Since a high resolution reference MS image is not available, qualitative and quantitative assessments of the spatially enhanced MS image are a much more challenging task in pan-sharpening. Thomas et al. conducted a critical survey of conventional pan-sharpening methods considering remote sensing physics. In this paper, we study the effects of physical constraints of satellite sensors on conventional quality assessment protocols. The novelty of this work is in investigating the effect of physical constraints on the performance of quality assessment protocols. The most popular protocols, which are analysed here, are quality not requiring a reference (QNR), Wald’s protocol, Zhou’s protocol, Khan’s protocol and Ghassemi’s protocol. In doing so, the strengths and weaknesses of such protocols regarding the physical limitations on satellite sensors are discussed.

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