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A new benchmark based on recent advances in multispectral pansharpening: Revisiting pansharpening with classical and emerging pansharpening methods
Pansharpening refers to the fusion of a multispectral (MS) image and panchromatic (PAN)
data aimed at generating an outcome with the same spatial resolution of the PAN data and …
data aimed at generating an outcome with the same spatial resolution of the PAN data and …
Fusion in stock market prediction: A decade survey on the necessity, recent developments, and potential future directions
Investment in a financial market is aimed at getting higher benefits; this complex market is
influenced by a large number of events wherein the prediction of future market dynamics is …
influenced by a large number of events wherein the prediction of future market dynamics is …
Image fusion techniques: a survey
The necessity of image fusion is growing in recently in image processing applications due to
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
the tremendous amount of acquisition systems. Fusion of images is defined as an alignment …
Image retrieval from remote sensing big data: A survey
The blooming proliferation of aeronautics and astronautics platforms, together with the ever-
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
increasing remote sensing imaging sensors on these platforms, has led to the formation of …
[HTML][HTML] Fourier domain structural relationship analysis for unsupervised multimodal change detection
Change detection on multimodal remote sensing images has become an increasingly
interesting and challenging topic in the remote sensing community, which can play an …
interesting and challenging topic in the remote sensing community, which can play an …
A survey of multiple classifier systems as hybrid systems
A current focus of intense research in pattern classification is the combination of several
classifier systems, which can be built following either the same or different models and/or …
classifier systems, which can be built following either the same or different models and/or …
LAGConv: Local-context adaptive convolution kernels with global harmonic bias for pansharpening
Pansharpening is a critical yet challenging low-level vision task that aims to obtain a higher-
resolution image by fusing a multispectral (MS) image and a panchromatic (PAN) image …
resolution image by fusing a multispectral (MS) image and a panchromatic (PAN) image …
Change detection in heterogenous remote sensing images via homogeneous pixel transformation
The change detection in heterogeneous remote sensing images remains an important and
open problem for damage assessment. We propose a new change detection method for …
open problem for damage assessment. We propose a new change detection method for …
Multi-level monitoring of subtle urban changes for the megacities of China using high-resolution multi-view satellite imagery
Megacities have evolved at an unprecedented rate under the pressure of urban population
growth and economic development, particularly in the develo** countries. For instance …
growth and economic development, particularly in the develo** countries. For instance …
Multimodal change detection in remote sensing images using an unsupervised pixel pairwise-based Markov random field model
This work presents a Bayesian statistical approach to the multimodal change detection (CD)
problem in remote sensing imagery. More precisely, we formulate the multimodal CD …
problem in remote sensing imagery. More precisely, we formulate the multimodal CD …