A5024207513- Synthetic Aperture Radar (SAR) Applications and Techniques
- Landslides and related hazards
- Soil Moisture and Remote Sensing
- Cryospheric studies and observations
- Soil Geostatistics and Mapping
- Advanced Image Processing Techniques
- Geophysical Methods and Applications
- Image and Signal Denoising Methods
- Advanced Data Compression Techniques
- Climate change and permafrost
- Remote-Sensing Image Classification
Zhongkai University of Agriculture and Engineering
2025
State Key Laboratory of Information Engineering in Surveying Mapping and Remote Sensing
2024
Wuhan University
2024
Central South University
2021-2023
Shanghai Pudong International Airport (PDIA), with its east side built along the coast weak geological conditions, is prone to uneven foundation settlement due consolidation and compression of soil erosion coastal tides, affecting safe operation airport. Therefore, it crucial conduct dynamic subsidence monitoring within airport, especially in runway area. 29 scenes ascending track Sentinel-1A radar images from August 2016 June 2018 are selected perform surface deformation inversion based on...
<title>Abstract</title> The European Space Agency's CCI soil moisture (SM) product spans from 1978 to now with 0.25° scale. Downscaling of SM can estimate high resolution data, but it is easily affected by the scale invariance assumption. applicability this assumption requires further exploration at global artificial neural network (ANN) method used downscale daily in 2020 0.05° under study. It shows that downscaled (DSM) provides more abundant detailed spatial information and decreases data...
Crop rotation is subsidized by the government because of its many advantages. Monitoring whether crop beneficial for agricultural management, and can also provide a reference subsidy policies rotation. In this paper, we propose an unsupervised object-oriented detection method using time-series polarimetric SAR (PolSAR) data. On one hand, construct change matrix based on likelihood ratio test (LRT) distance to perform temporal filtering. Then, pixel-level image generated Shannon entropy...
Multibaseline polarimetric synthetic aperture radar interferometry (PolInSAR) is one of the advanced technologies forest height inversion, as it provides rich observation information. In this letter, we propose a new iterative reweighted method for multibaseline PolInSAR joint inversion height. First, establish better stochastic model and weight function to obtain more accurate parameter estimation considering relationship between vertical wavenumber Second, according proposed criterion,...
In polarimetric interferometric SAR (PolInSAR) technology, the random volume over ground (RVoG) model establishes mapping relationship between complex coherence and forest biophysical parameters (e.g., height). However, due to speckle noise finite multilooking effect, real observed region in unitary circle (CUC) is an ellipse, which biased by ideal noise-free represented as a straight line RVoG model. Multilooking processing can reduce at cost of resolution loss. Therefore, this paper...
Estimating vegetation height from polarimetric interferometric synthetic aperture radar (PolInSAR) data using the random volume over ground (RVoG) model has long been used. Most of these methods propose models and apply them to real airborne demonstrate their potential. The single-baseline PolInSAR forest estimation based on RVoG lacks sufficient observation information. For this reason, multibaseline are introduced address this. This paper fits relationship parameters in scenarios, focuses...