Results 221 to 230 of about 12,167 (257)

Remote Sensing Image Fusion

2015
Nowadays, approximately four TB of image data are collected daily by instruments mounted on satellite platforms, not to mention the data produced by a myriad of specific campaigns carried out through airborne instruments. Very high-resolution (VHR) multispectral scanners, IKONOS, QuickBird, GeoEye, WorldView, Pl´eiades, just to mention the most popular,
Alparone L, Aiazzi B, Baronti S, Garzelli A   +3 more
openaire   +5 more sources

Fusion research of remote sensing image based on compressive Sensing

2012 4th Electronic System-Integration Technology Conference, 2012
Compressive Sensing provides a new method of signal processing, when the image signal is sparse or can be com-pressed, it is possible to substantially lower than the Nyquist sampling rate, the sampling mode of the image signal is sampled, and by recovery algorithms to restore the image signal.
Chao Wei, Dong Mei Liu, Fan Wang, Ling Yan Chen   +3 more
openaire   +1 more source

Remote Sensing Image Fusion Based on PCA and Wavelets

2023
Remote sensing, in the recent past, has witnessed continuous developments in the field of environment, agriculture and security. The satellites obtain the information in two domains—spectral resolution and spatial resolution which are highlighted in the Low-Resolution Multi-Spectral (LRMS) and the Panchromatic (PAN) images, respectively. Remote sensing
Mishra, Reetika, Bhateja, Vikrant, Banerjee, Rupa, Lay-Ekuakille, Aimé, Šenkeřík, Roman   +4 more
openaire   +2 more sources

Remote sensing image fusion using the curvelet transform [PDF]

Information Fusion, 2007
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 bands are resampled to the fine scale of the panchromatic (Pan) image and sharpened by injecting highpass directional details extracted from the high-resolution Pan image by ...
Filippo Nencini, Andrea Garzelli, Stefano Baronti, Luciano Alparone   +3 more
openaire   +6 more sources

Deep SURE for Unsupervised Remote Sensing Image Fusion

IEEE Transactions on Geoscience and Remote Sensing, 2022
Image fusion is utilized in remote sensing (RS) due to the limitation of the imaging sensor and the high cost of simultaneously acquiring high spatial and spectral resolution images. Optical RS imaging systems usually provide images of high spatial resolution but low spectral resolution and vice versa.
Nguyen, Han, Ulfarsson, Magnus, Sveinsson, Johannes, Dalla Mura, Mauro   +3 more
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Remote Sensing and Image Fusion Methods: A Comparison

2006 IEEE International Conference on Acoustics Speed and Signal Processing Proceedings, 2006
By fusing two sets of images A and B, one with a high spatial resolution, the other with a low spatial resolution and different spectral bands, the ARSIS (from its French name: "amelioration de la resolution spatiale par injection de structures". It is usually translated by improvement of the spatial resolution by structures' injection) concept permits
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Remote sensing image fusion based on sparse representation

2014 IEEE Geoscience and Remote Sensing Symposium, 2014
To improve the quality of the fused image, we propose a remote sensing image fusion method based on sparse representation. In the method, first, we represent the source images with sparse coefficients. Second, the larger values of sparse coefficients of panchromatic (Pan) image is set to 0.
Xianchuan Yu, Guanyin Gao, Jin-dong Xu, Guian Wang   +3 more
openaire   +2 more sources

Automated image processing and fusion for remote sensing applications

SPIE Proceedings, 2009
The ever increasing volumes and resolutions of remote sensing imagery have not only boosted the value of image-based analysis and visualization in scientific research and commercial sectors, but also introduced new challenges. Specifically, processing large volumes of newly acquired high-resolution imagery as well as fusing them against existing ...
Sakina Zabuawala, Hai Wei, Chaitanya Raju, Nilanjan Ray, Jacob Yadegar   +4 more
openaire   +1 more source

Comparative Analysis of Image Fusion Techniques in Remote Sensing

2012
The study is to compare the performance of different image fusion techniques for the enhancement of an urban features and coastal data. The goal is to obtain high resolution multispectral image which combines the spectral characteristic of low resolution data with high the spectral resolution of the panchromatic image.
J. Jayanth, T. Ashok Kumar, Shivaprakash Koliwad   +2 more
openaire   +2 more sources

Remote Sensing Image Fusion Using Ripplet Transform and Compressed Sensing

IEEE Geoscience and Remote Sensing Letters, 2015
In this letter, we propose a novel remote sensing image fusion method based on the ripplet transform and the compressed sensing (CS) theory. The ripplet transform generalizes the curvelet transform by adding two parameters, namely, support c and degree d.
Morteza Ghahremani, Hassan Ghassemian
openaire   +1 more source