Results 101 to 110 of about 4,917 (234)

A method to better account for modulation transfer functions in ARSIS-based pansharpening methods

, 2011
International audienceMultispectral (MS) images provided by Earth observation satellites have generally a poor spatial resolution while panchromatic images (PAN) exhibit a spatial resolution two or four times better.
Blanc, Philippe, Massip, Pierre, Wald, Lucien   +2 more
core   +3 more sources

Impact of panchromatic image characteristics on hyperspectral pansharpening: A case study in Agadir, Morocco [PDF]

The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences
This study evaluates the impact of different panchromatic (PAN) images with varying spatial resolutions on hyperspectral (HS) pansharpening performance.
V. Yilmaz
doaj   +1 more source

Testing the Impact of Pansharpening Using PRISMA Hyperspectral Data: A Case Study Classifying Urban Trees in Naples, Italy

Remote Sensing
Urban trees support vital ecological functions and help with the mitigation of and adaption to climate change. Yet, their monitoring and management require significant public resources. remote sensing could facilitate these tasks.
Miriam Perretta, Gabriele Delogu, Cassandra Funsten, Alessio Patriarca, Eros Caputi, Lorenzo Boccia   +5 more
doaj   +1 more source

SSA-GAN: Singular Spectrum Analysis-Enhanced Generative Adversarial Network for Multispectral Pansharpening

Mathematics
Pansharpening is essential for remote sensing applications requiring high spatial and spectral resolution. In this paper, we propose a novel Singular Spectrum Analysis-Enhanced Generative Adversarial Network (SSA-GAN) for multispectral pansharpening.
Lanfa Liu, Jinian Zhang, Baitao Zhou, Peilun Lyu, Z. Cai   +4 more
semanticscholar   +1 more source

Pansharpening largely preserves the normalized difference vegetation index: a multi-sensor comparison with PRISMA, Landsat 9, and field spectroscopy

Frontiers in Remote Sensing
Pansharpening is widely used to increase the spatial resolution of satellite imagery, yet its effects on vegetation indices derived from hyperspectral sensors remain poorly quantified.
Jan Procházka, Jan Komárek, David Moravec, Jiří Rous, Tomáš Klouček   +4 more
doaj   +1 more source

Pansharpening with a Guided Filter Based on Three-Layer Decomposition

Sensors, 2016
State-of-the-art pansharpening methods generally inject the spatial structures of a high spatial resolution (HR) panchromatic (PAN) image into the corresponding low spatial resolution (LR) multispectral (MS) image by an injection model.
Xiangchao Meng, Jie Li, Huanfeng Shen, Liangpei Zhang, Hongyan Zhang   +4 more
doaj   +1 more source

Tree-Structured Neural Network for Hyperspectral Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Hyperspectral (HS) pansharpening refers to fusing low spatial resolution HS (LRHS) images with the corresponding panchromatic (PAN) images to create high spatial resolution HS (HRHS) images.
Lin He, Hanghui Ye, Dahan Xi, Jun Li, Antonio Plaza, Mei Zhang   +5 more
doaj   +1 more source

Influence of Pansharpening in Obtaining Accurate Vegetation Maps

Canadian Journal of Remote Sensing, 2017
In recent decades, there has been a decline in ecosystem services. Thus, the development of reliable methodologies to monitor ecosystems is becoming important.
Edurne Ibarrola-Ulzurrun, Consuelo Gonzalo-Martín, Javier Marcello   +2 more
doaj   +1 more source

Neural Shrödinger Bridge Matching for Pansharpening

Recent diffusion probabilistic models (DPM) in the field of pansharpening have been gradually gaining attention and have achieved state-of-the-art (SOTA) performance. In this paper, we identify shortcomings in directly applying DPMs to the task of pansharpening as an inverse problem: 1) initiating sampling directly from Gaussian noise neglects the low ...
Cao, Zihan, Wu, Xiao, Deng, Liang-Jian
openaire   +2 more sources

A Progressive Spectral Correction and Spatial Compensation Network for Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Pansharpening aims to produce a high resolution multispectral image by fusing a panchromatic image with a low-resolution multispectral image. Current pansharpening methods often overlook the significant modality differences between source images and lack
Rixian Liu, Hangyuan Lu, Biwei Chi, Yong Yang, Shuying Huang   +4 more
doaj   +1 more source