Component Substitution Based Fusion of WorldView Imagery

Pandit, Vaibhav R.; Bhiwani, R. J.

doi:10.1109/icccnt45670.2019.8944532

Cited by 5 publications

(2 citation statements)

References 21 publications

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“…The first category is component substitution (CS) [9]. In this method, the low resolution multispectral image is transformed into spatial and spectral components.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Image Fusion Algorithm Based on Two-Stream Fusion Network and Residual Channel Attention Mechanism

Huang

Shi

et al. 2022

Wireless Communications and Mobile Computing

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A two-stream remote sensing image fusion network (RCAMTFNet) based on the residual channel attention mechanism is proposed by introducing the residual channel attention mechanism (RCAM) in this paper. In the RCAMTFNet, the spatial features of PAN and the spectral features of MS are extracted, respectively, by a two-channel feature extraction layer. Multiresidual connections allow the network to adapt to a deeper network structure without the degradation. The residual channel attention mechanism is introduced to learn the interdependence between channels, and then the correlation features among channels are adapted on the basis of the dependency. In this way, image spatial information and spectral information are extracted exclusively. What is more, pansharpening images are reconstructed across the board. Experiments are conducted on two satellite datasets, GaoFen-2 and WorldView-2. The experimental results show that the proposed algorithm is superior to the algorithms to some existing literature in the comparison of the values of reference evaluation indicators and nonreference evaluation indicators.

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“…The first category is component substitution (CS) [9]. In this method, the low resolution multispectral image is transformed into spatial and spectral components.…”

Section: Introductionmentioning

confidence: 99%

Remote Sensing Image Fusion Algorithm Based on Two-Stream Fusion Network and Residual Channel Attention Mechanism

Huang

Shi

et al. 2022

Wireless Communications and Mobile Computing

View full text Add to dashboard Cite

show abstract

“…Detailed literature of image fusion algorithms is surveyed in [3]- [5]. The algorithms are mostly categorized under Component Substitution (CS) [6], Multi-Resolution Analysis (MRA) [7] and hybrid approaches. These various ideas of image fusion try to fulfill the demands of remote sensing application tasks which help groundwater prospects mapping, forecast of agricultural output, forest cover mapping, snow & glacier studies, wasteland mapping, object recognition [8], change detection [9], scene interpretation [10] and visual image analysis, etc.…”

Section: Introductionmentioning

confidence: 99%

Optimizing Sensor Relationship for Fusion of Multispectral and Panchromatic Imagery

Pandit*,

Bhiwani

2019

IJITEE

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The remote sensing satellite products: multispectral and panchromatic imagery are characterized by different levels of spatio-spectral resolutions. The fusion of these two images (provided, they are acquired for same geographic scenario) is also known as ‘Pansharpening’. This produces a composite image featuring simultaneous high levels of spatio-spectral resolutions to meet the demand of the most of remote sensing applications. Thus, different approaches for such fusion and further its quality assessment are continuously researched. The modulation transfer function is unique to the imaging sensors. In this paper, the sensor relationship of the input imagery is optimized to produce the efficient pansharpened/fused image. The performance measurement is carried out on two real datasets made available by WorldView-2 and WorldView-3 satellite sensors using two assessment techniques. The results of optimization approach are further compared to nine different most recent fusion algorithms

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Multispectral to Panchromatic Image Fusion Based on Morphological Extended-Half-Gradient

Pandit

Bhiwani²

2020

J Indian Soc Remote Sens

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Component Substitution Based Fusion of WorldView Imagery

Cited by 5 publications

References 21 publications

Remote Sensing Image Fusion Algorithm Based on Two-Stream Fusion Network and Residual Channel Attention Mechanism

Remote Sensing Image Fusion Algorithm Based on Two-Stream Fusion Network and Residual Channel Attention Mechanism

Optimizing Sensor Relationship for Fusion of Multispectral and Panchromatic Imagery

Multispectral to Panchromatic Image Fusion Based on Morphological Extended-Half-Gradient

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