RETRACTED: Multi-spectral and panchromatic image fusion approach using stationary wavelet transform and swarm flower pollination optimization for remote sensing applications

Gharbia, Reham; Hassanien, Aboul Ella; El-Baz, A. H.; Elhoseny, Mohamed; Gunasekaran, M.

doi:10.1016/j.future.2018.06.022

Cited by 45 publications

(16 citation statements)

References 36 publications

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“…Rural finance reforms are increasingly important with the continued healthy and fast development of the rural economy (Endsley, 2019;Gharbia et al, 2018;Hanewald et al, 2020). In vast rural areas, through the use in the collateral of poultry, livestock, and other economic analysis, a new way of guarantee financing has begun to arise (Da, 2019;Gao et al, 2019;Zhang et al, 2019).…”

Section: Introduction Of Mortgage Supply-demand Of Rural Land In Guangdong Provincementioning

confidence: 99%

RETRACTED ARTICLE: Application of active remote sensing in confirmation rights and identification of mortgage supply-demand subjects of rural land in Guangdong Province

Samuel

et al. 2020

European Journal of Remote Sensing

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In recent years, the remote sensing data plays an increasingly significant role in Land use prediction modeling. The effects of land conversion and agricultural bio production are evaluated using remote sensing and economic analysis. It is impossible to over-emphasize the advantages of the vibrant, efficient hybrid mortgage market in Guangdong as it is inseparably linked to economic development. This paper explores specifically the main variables affecting residential mortgage demand and other restrictions on households' use of a mortgage using the Fuzzy Systematic Evaluation System (FSES). Furthermore, this objective has been accomplished by examining and analyzing the available mortgage products in Guandong through questionnaire survey responses. In addition, the high-interest rates, low income, and house prices result in high and unreasonable repayment-to-earnings mortgages ratios. Moreover, the cumulative effect of this is to make households on low and mid-income prices to the mortgage market. While higher house prices are found in this study to increase mortgage demand, they trigger banks to offer fewer and charge higher rates, particularly after the boom, and especially for highly leveraged households.

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Section: Introduction Of Mortgage Supply-demand Of Rural Land In Guangdong Provincementioning

confidence: 99%

RETRACTED ARTICLE: Application of active remote sensing in confirmation rights and identification of mortgage supply-demand subjects of rural land in Guangdong Province

Samuel

et al. 2020

European Journal of Remote Sensing

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“…The equations for these image quality methods are given below (Equations. [5][6][7][8][9]. More details regarding the details of the aforementioned quality image methods can be found in [82,83].…”

Section: Comparison With Real Gpr Slicesmentioning

confidence: 99%

“…Since each sensor operates on a specific wavelength range and is sensitive to specific environmental conditions, the acquisition of all the required information for detecting an object is not feasible to be acquired by a single sensor. It is, therefore, not surprising that advanced analytical or numerical image fusion techniques have been developed for improved exploitation of multisource data [6]. The importance of fusion is also highlighted by [5] where image fusion provides the capability of combining two or more different images into a single image, expanding this way the information content.…”

Section: Introductionmentioning

confidence: 99%

Beyond GIS Layering: Challenging the (Re)use and Fusion of Archaeological Prospection Data Based on Bayesian Neural Networks (BNN)

Αγαπίου

Sarris

2018

Remote Sensing

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Multisource remote sensing data acquisition has been increased in the last years due to technological improvements and decreased acquisition cost of remotely sensed data and products. This study attempts to fuse different types of prospection data acquired from dissimilar remote sensors and explores new ways of interpreting remote sensing data obtained from archaeological sites. Combination and fusion of complementary sensory data does not only increase the detection accuracy but it also increases the overall performance in respect to recall and precision. Moving beyond the discussion and concerns related to fusion and integration of multisource prospection data, this study argues their potential (re)use based on Bayesian Neural Network (BNN) fusion models. The archaeological site of Vésztő-Mágor Tell in the eastern part of Hungary was selected as a case study, since ground penetrating radar (GPR) and ground spectral signatures have been collected in the past. GPR 20 cm depth slices results were correlated with spectroradiometric datasets based on neural network models. The results showed that the BNN models provide a global correlation coefficient of up to 73%—between the GPR and the spectroradiometric data—for all depth slices. This could eventually lead to the potential re-use of archived geo-prospection datasets with optical earth observation datasets. A discussion regarding the potential limitations and challenges of this approach is also included in the paper.

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“…The "NR-IQA " or "blind " quality criteria approach is very useful in which the reference image is not available. There are some NR-IQA criteria as shown in the following table 3 [63][64][65].…”

Section: No Reference Image Quality Assessment (Nr-iqa)mentioning

confidence: 99%

A Review of Digital Image Fusion and its Application

Al-Mokhtar¹,

Ibraheem²,

Al-Layla³

2021

(AREJ)

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Image Fusion is applied to get back a group of data from two or more than two images and put it into one image to create additional wealthy information and profitable more than any of the input data that led to increase the features and performance of information. The quality of the resultant data relies on the implementation of the process. Image fusion is excessively utilized in stereo camera fusion, medical application, manufacture process monitoring, electronic circuit design and inspection, complex machine diagnostics and in intelligent robots on assembly lines. This study displays a literature review on different types of algorithm and theories which apply on images. Many quality criteria have debated to do a brief comparison of these methods. The applications of image fusion are showed in this paper.

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RETRACTED: Multi-spectral and panchromatic image fusion approach using stationary wavelet transform and swarm flower pollination optimization for remote sensing applications

Cited by 45 publications

References 36 publications

RETRACTED ARTICLE: Application of active remote sensing in confirmation rights and identification of mortgage supply-demand subjects of rural land in Guangdong Province

RETRACTED ARTICLE: Application of active remote sensing in confirmation rights and identification of mortgage supply-demand subjects of rural land in Guangdong Province

Beyond GIS Layering: Challenging the (Re)use and Fusion of Archaeological Prospection Data Based on Bayesian Neural Networks (BNN)

A Review of Digital Image Fusion and its Application

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