Results 31 to 40 of about 61,795 (173)
Evaluation of wave retrieval for Chinese Gaofen-3 synthetic aperture radar [PDF]
The goal of this study was to investigate the performance of a spectral-transformation wave retrieval algorithm and confirm the accuracy of wave retrieval from C-band Chinese Gaofen-3 (GF-3) Synthetic Aperture Radar (SAR) images.
Sun, Zhanfeng +5 more
core +1 more source
Chlorophyll-a concentrations in water bodies are one of the most important environmental evaluation indicators in monitoring the water environment. Small water bodies include headwater streams, springs, ditches, flushes, small lakes, and ponds, which ...
Jiarui Shi +9 more
doaj +1 more source
Semi-Empirical Algorithm for Wind Speed Retrieval from Gaofen-3 Quad-Polarization Strip Mode SAR Data [PDF]
Synthetic aperture radar (SAR) is a suitable tool to obtain reliable wind retrievals with high spatial resolution. The geophysical model function (GMF), which is widely employed for wind speed retrieval from SAR data, describes the relationship between ...
Yuan, Xinzhe +4 more
core +1 more source
GEOMETRIC QUALITY EVALUATION METHOD FOR MULTI-VIEW SATELLITE IMAGES IN 3D RECONSTRUCTION [PDF]
The quality of the 3D model reconstructed using multi-view satellite image depends on the quality of the image. To evaluate the geometric quality of the satellite image, we proposed a method to evaluate the geometric distortion for satellite images and ...
H. Yi +5 more
doaj +1 more source
In this paper, the study on the digital elevation model (DEM) reconstruction using Gaofen-3 satellite repeat-pass synthetic aperture radar (SAR) interferometry is presented.
Lixiang Ma +5 more
doaj +1 more source
Soil moisture is a key parameter affecting crop growth. Gaofen-3 satellite is the first C-band synthetic aperture radar produced by China, which provides full-polarization data sources for soil moisture estimation. This article evaluated the potential of
Linlin Zhang +4 more
doaj +1 more source
SAHARA: A Simplified AtmospHeric Correction AlgoRithm for Chinese gAofen Data: 1. Aerosol Algorithm [PDF]
The recently launched Chinese GaoFen-4 (GF4) satellite provides valuable information to obtain geophysical parameters describing conditions in the atmosphere and at the Earth’s surface. The surface reflectance is an important parameter for the estimation
Jie Guang +9 more
core +1 more source
MULTI-TEMPORAL URBAN LAND-USE CHANGE DETECTION AND PREDICTION USING CNN-BASED CA-MARKOV MODEL FROM GAOFEN SATELLITE IMAGES [PDF]
The intelligent interpretation of land-use change has become a research frontier. Reasonably and effectively utilizing limited land resources and making scientific predictions to promote sustainable utilization of land resources is significant for ...
Q. Yuan, X. Tang
core +1 more source
Extraction of Pig Farms From GaoFen Satellite Images Based on Deep Learning
Accurate information on the spatial distribution and area of pig farms is essential for pig breeding monitoring, pork production estimation, and environmental governance of pig breeding. Governmental regulatory departments mostly rely on field surveys to
Jielin Guan +5 more
core +1 more source
Georeferencing of Satellite Images with Geocoded Image Features [PDF]
Currently, using digital orthophoto map (DOM) and digital elevation model (DEM) as reference to achieve geometric positioning of newly acquired satellite images has become a popular photogrammetric approach.
Y. Zhang, H. Li, J. Yu, P. Tao, P. Tao
doaj +1 more source

