Results 81 to 90 of about 1,701 (201)
Analisis Pansharpening Citra Spot 5
Penggabungan citra (image fusion) dapat dijadikan sebagai alat bantu penting dalam evaluasi data penginderaan jauh dengan ketersediaan data citra yang multisensor, multitemporal, multifrekuensi, dan multiresolusi dari satelit observasi bumi.
Hendayani Yusuf, Sukentyas Estuti Siwi
core
Abstract Land‐fast sea‐ice (fast ice) in McMurdo Sound grows through heat loss to the atmosphere and through heat loss to the ocean due to the presence of supercooled water. In this paper, we present a fast‐ice thickness data set covering 1986–2022, providing a baseline of interannual variability in fast‐ice thickness.
Maren Elisabeth Richter +4 more
wiley +1 more source
Abstract Thicker snow cover in permafrost areas causes deeper active layers and thaw subsidence, which alter local hydrology and may amplify the loss of soil carbon. However, the potential for changes in snow cover and surface runoff to mobilize permafrost carbon remains poorly quantified.
Frans‐Jan W. Parmentier +8 more
wiley +1 more source
Impact of panchromatic image characteristics on hyperspectral pansharpening: A case study in Agadir, Morocco [PDF]
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
SWPanGAN: A hybrid generative adversarial network for pansharpening
This paper introduces SWPanGAN, a novel pansharpening method that combines Swin Transformer architectures with discrete wavelet transform in a GAN framework. The approach effectively fuses multimodal data and detects artefacts, offering a significant advancement in image fusion and pansharpening.
Bo Huang, Xiongfei Li, Xiaoli Zhang
wiley +1 more source
Pansharpening and Classification of Pansharpened Images
Satellites provide very valuable data about the Earth, e.g., for environmental monitoring, weather forecasting, map-making and military intelligence. But satellites are expensive, both to build and operate.
Frosti Pálsson 1974-
core +1 more source
Pansharpening of PRISMA Products for Archaeological Prospection
Hyperspectral data recorded from satellite platforms are often ill-suited for geo-archaeological prospection due to low spatial resolution. The established potential of hyperspectral data from airborne sensors in identifying archaeological features has, on the other side, generated increased interest in enhancing hyperspectral data to achieve higher ...
Gregory Sech +4 more
openaire +4 more sources
Pansharpening with a decision fusion based on the local size information [PDF]
International audiencePansharpening may be defined as the process of synthesizing multispectral images at a higher spatial resolution. Different pansharpening methods produce images with different characteristics. In the 2006 IEEE Data Fusion Contest, A\'
Khan, Muhammad, M. +7 more
core +1 more source
Super-Resolution-Guided Progressive Pansharpening Based on a Deep Convolutional Neural Network
Pansharpening and super-resolution (SR) methods share the same target to improve the spatial resolution of images. Based on this similarity, we propose and develop a novel pansharpening algorithm that is guided by a deep SR convolutional neural network ...
Huang, Bo, Cai, Jiajun
core +1 more source
ZSBP: Zero-Shot Semi-Supervised Learning for Blind Pansharpening
Pansharpening aims to generate high-resolution multispectral images (HRMS) by effectively leveraging the complementary information in high-resolution panchromatic images (HRPan) and low-resolution multispectral images (LRMS).
Jialei Xie +5 more
doaj +1 more source

