Results 141 to 150 of about 1,803 (195)

Research on CTSA-DeepLabV3+ Urban Green Space Classification Model Based on GF-2 Images. [PDF]

Sensors (Basel)
Li R, Zhao J, Fan Y.
europepmc   +1 more source

Resolving uncertainty in satellite-derived shorelines of a reef-lined beach using high spatiotemporal resolution topographic surveys. [PDF]

Sci Rep
Mikkelsen AB, Nicolow JC, Murray KD, Vitousek S, Moskvichev RU, Anderson TR, Fletcher CH.   +6 more
europepmc   +1 more source

An Adaptive Progressive Recursive Network for Pansharpening

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
Zhipeng Zhao, Yu Liu, Qingwei Tong, Kui Ran, Qinling Dai, ZhiTao Fu, Leiguang Wang   +6 more
openaire   +2 more sources

Enhancing Building Point Cloud Reconstruction from RGB UAV Data with Machine-Learning-Based Image Translation. [PDF]

Sensors (Basel)
Dippold EJ, Tsai F.
europepmc   +1 more source

Physics-Inspired Frequency-Decoupled Network for Remote Sensing Image Dehazing. [PDF]

Sensors (Basel)
Yang H, Chen X, Xu G.
europepmc   +1 more source

TEA-LWNet: a lightweight multispectral feature enhancement network based on RGB-NIR fusion for detection of tea leaf diseases and pests. [PDF]

Front Plant Sci
Wang Z, Wang F, Lin H.
europepmc   +1 more source

Old-growth forest patches are widespread outside nature reserves in Southern China

Tong X, Xu Q, Yue Y, Wang K, Du H, Fensholt R, Li S, Xu X, Bai Y, Yang X, Gominski D, Ciais P, Chave J, Chen Z, Jepsen M, Igel C, Liu S, Qi X, Brandt M.   +18 more
europepmc   +1 more source

Hyperspectral Pansharpening: A Review [PDF]

IEEE Geoscience and Remote Sensing Magazine, 2015
Pansharpening aims at fusing a panchromatic image with a multispectral one, to generate an image with the high spatial resolution of the former and the high spectral resolution of the latter. In the last decade, many algorithms have been presented in the literature for pansharpening using multispectral data.
Jean-Yves Tourneret, Miguel Simões, Nicolas Dobigeon   +2 more
exaly   +9 more sources

A New Benchmark Based on Recent Advances in Multispectral Pansharpening: Revisiting Pansharpening With Classical and Emerging Pansharpening Methods

IEEE Geoscience and Remote Sensing Magazine, 2021
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 the spectral resolution of the MS image. In the last 30 years, several approaches to deal with this issue have been proposed.
Giuseppe Scarpa, Gemine Vivone, Magnús Örn Úlfarsson   +2 more
exaly   +7 more sources

Dynamic Hyperspectral Pansharpening CNNs

IEEE Transactions on Geoscience and Remote Sensing, 2023
Hyperspectral (HS) pansharpening seeks to integrate low spatial resolution HS (LRHS) images with connected panchromatic (PAN) images to produce high spatial resolution HS (HRHS) images. Traditional pansharpening convolutional neural networks (CNNs) directly map LRHS and PAN images into HRHS images under fixed network parameters, which imply static ...
Antonio Plaza, Lin He
exaly   +4 more sources