JCa2Co: A joint cascade convolution coding network based on fuzzy regional characteristics for infrared and visible image fusion
To facilitate the extraction of source image information, and preserve the consistency of
heterogeneous regional features, a multiscale image fusion method based on a joint …
heterogeneous regional features, a multiscale image fusion method based on a joint …
A fusion method of multi-spectral image and panchromatic image based on NSCT transform and adaptive gamma correction
L Jiahuan, Z Jian, D Yunfei - 2018 3rd International Conference …, 2018 - ieeexplore.ieee.org
The purpose of remote sensing images fusion is to produce a fused image that contains
more clear, accurate and comprehensive information than any single image. an image …
more clear, accurate and comprehensive information than any single image. an image …
A crowd-in-the-loop approach for generating conference programs with microtasks
N Kobayashi, M Matsubara, K Tajima… - … Conference on Big …, 2017 - ieeexplore.ieee.org
Creating session programs for large-scale academic conferences is a cumbersome task for
program committees. Our goal is to establish a crowd-in-the-loop method for creating …
program committees. Our goal is to establish a crowd-in-the-loop method for creating …
Fusion of LBP and Hu-moments with fisher vectors in remote sensing imagery
There are huge volumes of scene images generated periodically by satellite technology
which require effective processing for intelligent decisions. The satellite sensed images …
which require effective processing for intelligent decisions. The satellite sensed images …
Local descriptors parameter characterization with fisher vectors for remote sensing images
Satellite technology yield huge quantities of high spatial resolution (HSR) images
periodically. The HSR type of data is complex in its spatial arrangement with high intraclass …
periodically. The HSR type of data is complex in its spatial arrangement with high intraclass …
Pan-Sharpening Based on Background Prior Saliency and Joint Sparse Detail Extraction
L Zhang, Y Sun - IEEE Geoscience and Remote Sensing …, 2020 - ieeexplore.ieee.org
For remote sensing images, the spectral and spatial quality requirements vary across
regions. Foreground objects need high spatial quality, while background regions require …
regions. Foreground objects need high spatial quality, while background regions require …