[HTML][HTML] Deep learning in multimodal remote sensing data fusion: A comprehensive review
With the extremely rapid advances in remote sensing (RS) technology, a great quantity of
Earth observation (EO) data featuring considerable and complicated heterogeneity are …
Earth observation (EO) data featuring considerable and complicated heterogeneity are …
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 …
A review of quality metrics for fused image
P Jagalingam, AV Hegde - Aquatic Procedia, 2015 - Elsevier
Image fusion is the process of combining high spatial resolution panchromatic (PAN) image
and rich multispectral (MS) image into a single image. The fused single image obtained is …
and rich multispectral (MS) image into a single image. The fused single image obtained is …
A benchmarking protocol for pansharpening: Dataset, preprocessing, and quality assessment
Comparative evaluation is a requirement for reproducible science and objective assessment
of new algorithms. Reproducible research in the field of pansharpening of very high …
of new algorithms. Reproducible research in the field of pansharpening of very high …
Multi-source remote sensing data fusion: status and trends
J Zhang - International Journal of Image and Data Fusion, 2010 - Taylor & Francis
With the fast development of remote sensor technologies, eg the appearance of Very High
Resolution (VHR) optical sensors, SAR, LiDAR, etc., mounted on either airborne or …
Resolution (VHR) optical sensors, SAR, LiDAR, etc., mounted on either airborne or …
Improving Component Substitution Pansharpening Through Multivariate Regression of MS Pan Data
In this paper, multivariate regression is adopted to improve spectral quality, without
diminishing spatial quality, in image fusion methods based on the well-established …
diminishing spatial quality, in image fusion methods based on the well-established …
A new adaptive component-substitution-based satellite image fusion by using partial replacement
J Choi, K Yu, Y Kim - IEEE transactions on geoscience and …, 2010 - ieeexplore.ieee.org
Preservation of spectral information and enhancement of spatial resolution are regarded as
important issues in remote sensing satellite image fusion. In previous research, various …
important issues in remote sensing satellite image fusion. In previous research, various …
MTF-tailored multiscale fusion of high-resolution MS and Pan imagery
This work presents a multiresolution framework for merging a multispectral image having an
arbitrary number of bands with a higher-resolution panchromatic observation. The fusion …
arbitrary number of bands with a higher-resolution panchromatic observation. The fusion …
Remote sensing image fusion using the curvelet transform
F Nencini, A Garzelli, S Baronti, L Alparone - Information fusion, 2007 - Elsevier
This paper presents an image fusion method suitable for pan-sharpening of multispectral
(MS) bands, based on nonseparable multiresolution analysis (MRA). The low-resolution MS …
(MS) bands, based on nonseparable multiresolution analysis (MRA). The low-resolution MS …
Multispectral and panchromatic data fusion assessment without reference
This paper introduces a novel approach for evaluating the quality of pansharpened
multispectral (MS) imagery without resorting to reference originals. Hence, evaluations are …
multispectral (MS) imagery without resorting to reference originals. Hence, evaluations are …