Results 71 to 80 of about 40,312,078 (138)
Nearshore topography retrieval based on wave spectrum inverted from Gaofen-3 image
This paper aims to propose a nearshore water depth retrieval method using Chinese Gaofen-3 (GF-3) synthetic aperture radar (SAR) imagery. By applying a deep learning-based multi-layer perceptron (MLP) approach, one-dimensional wave spectra are inverted ...
Mengyu Hao +4 more
doaj +1 more source
Google Earth Engine was utilised to assess snow cover area (SCA) across eight Upper Indus Basin (UIB) subbasins, employing ARIMA for prediction and comparing MODIS datasets using Dunn's test. Spatiotemporal changes were analysed using MK, Sen's slope, and other statistical tests.
Hafsa Muzammal +4 more
wiley +1 more source
Wide Swath Stereo Mapping from Gaofen-1 Wide-Field-View (WFV) Images Using Calibration [PDF]
The development of Earth observation systems has changed the nature of survey and mapping products, as well as the methods for updating maps. Among optical satellite mapping methods, the multiline array stereo and agile stereo modes are the most common ...
Huang, W. +7 more
core +1 more source
Radiometric and Polarimetric Quality Validation of Gaofen-3 over a Five-Year Operation Period
GaoFen-3 was the first Chinese civilian C-band synthetic aperture radar (SAR) satellite, launched in August 2016. The need for monitoring the satellite’s image quality has been boosted by its widespread applications in various fields. The efficient
Jie Yang +7 more
core +1 more source
This study proposes a Gated and Cross‐Dynamically Enhanced Network (GCD‐Net) for accurate extraction of offshore raft aquaculture from Sentinel‐2 imagery. GCD‐Net integrates novel gated residual blocks, cross‐guided attention, and dynamic attention ASPP modules to enhance feature representation and boundary precision.
Yu Wang +4 more
wiley +1 more source
Target detection is one of the important applications in the field of remote sensing. The Gaofen-3 (GF-3) Synthetic Aperture Radar (SAR) satellite launched by China is a powerful tool for maritime monitoring. This work aims at detecting ships in GF-3 SAR
Hongjian You, Quanzhi An, Zongxu Pan
core +1 more source
An accurate Modulation Transfer Function (MTF) is essential for Synthetic Aperture Radar (SAR) wave spectra retrieval. This study aimed to investigate the performance of a quad-polarized wave retrieval algorithm based on fully polarimetric SAR image data
Weizeng Shao +3 more
doaj +1 more source
Synthetic aperture radar (SAR) ship detection remains challenging due to inherent speckle noise, complex sea clutter, variable target scales, and arbitrary ship poses. This paper develops a YOLOv11‐based multi‐scale feature enhancement network, namely DWD‐Net, by integrating deformable convolution v4, a stochastic multi‐scale pooling attention ...
Niu Yameng +4 more
wiley +1 more source
Cross-sensor cropland mapping: evaluating Chinese satellites and Sentinel-2 in the Nile Delta
Expanding the global application of Chinese Earth Observation satellites (CEOSs) data can enhance Earth observation capabilities, especially in data-scarce regions.
Zihang Lou +12 more
doaj +1 more source
GaoFen-3 (GF-3) is the first Chinese civilian multi-polarization synthetic aperture radar (SAR) satellite, launched on 10 August of 2016, and put into operation at the end of January 2017.
Zezhong Wang +3 more
doaj +1 more source

