Results 101 to 110 of about 2,221 (193)

Optimized Estimation of Azimuth Cutoff for Retrieval of Significant Wave Height and Wind Speed From Polarimetric Gaofen-3 SAR Wave Mode Data

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
This study presents an innovative approach for estimating the azimuth cutoff wavelength ($\lambda _{c}$) using a multipolarization combination technique to enhance the retrieval of significant wave height (SWH) and wind speed (WS) from Gaofen-3 (GF-3) SAR wave mode data. The study identifies distinct advantages of copolarization for low to moderate sea
Zhichao Zheng   +6 more
openaire   +2 more sources

A Study on the Direct Optimization of a Rational Function Model for High-Resolution Satellite Images

open access: yesRemote Sensing
Due to the influence of factors such as satellite jitters, orbital errors, star sensor errors, and satellite clock errors, significant geometric systematic errors often exist among multi-view satellite images.
Danchao Gong, Yilong Han, Xu Huang
doaj   +1 more source

Enhancing Road Extraction in Large-Scale Complex Terrain through Multi-Source Remote Sensing Image Fusion and Optimization

open access: yesRemote Sensing
In large-scale remote sensing scenarios characterized by intricate terrain, the straightforward road imaging features in synthetic aperture radar (SAR) images make them susceptible to interference from other elements such as ridges, compromising the ...
Longqiang Fu, Huiming Chai, Xiaolei Lv
doaj   +1 more source

A$^{2}$-MAE: A spatial-temporal-spectral unified remote sensing pre-training method based on anchor-aware masked autoencoder

open access: yes
Vast amounts of remote sensing (RS) data provide Earth observations across multiple dimensions, encompassing critical spatial, temporal, and spectral information which is essential for addressing global-scale challenges such as land use monitoring ...
Cao, Shilei   +12 more
core  

Insight Into the Collocation of Multi-Source Satellite Imagery for Multi-Scale Vessel Detection

open access: yes
Ship detection from satellite imagery using Deep Learning (DL) is an indispensable solution for maritime surveillance. However, applying DL models trained on one dataset to others having differences in spatial resolution and radiometric features requires
Chini, Marco   +2 more
core  

Retrieval of soil moisture based on Gaofen-3 (GF-3) satellite synthetic aperture radar data over agricultural fields

open access: yes浙江大学学报. 农业与生命科学版
Soil moisture is the basic condition for crop growth. A new retrieval algorithm for soil moisture was proposed based on C-band synthetic aperture radar (SAR) data from Gaofen-3 (GF-3) satellite, and soil moisture of agricultural fields with a regional scale spatial resolution of 8 m was obtained.
ZHANG Linlin   +4 more
openaire   +1 more source

SAR4LCZ-Net: A Complex-Valued Convolutional Neural Network for Local Climate Zones Classification Using Gaofen-3 Quad-Pol SAR Data

open access: yesIEEE Transactions on Geoscience and Remote Sensing, 2022
Rui Zhang   +5 more
openaire   +2 more sources

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