Sentinel-1 and 2 time-series for vegetation mapping using random forest classification: A case study of Northern Croatia
Land-cover (LC) mapping in a morphologically heterogeneous landscape area is a
challenging task since various LC classes (eg, crop types in agricultural areas) are …
challenging task since various LC classes (eg, crop types in agricultural areas) are …
Built-up area mapping in China from GF-3 SAR imagery based on the framework of deep learning
Timely and reliable acquisition of built-up areas (BAs) information in large regions is of great
significance for the assessment of the influence of human activities in local, regional and …
significance for the assessment of the influence of human activities in local, regional and …
Exploring fine polarimetric decomposition technique for built-up area monitoring
S Quan, T Zhang, W Wang, G Kuang… - … on Geoscience and …, 2023 - ieeexplore.ieee.org
Highly variable polarimetric signatures caused by complex structures in built-up areas make
interpretation of these scattering behaviors intractable for polarimetric synthetic aperture …
interpretation of these scattering behaviors intractable for polarimetric synthetic aperture …
Dual-branch deep convolution neural network for polarimetric SAR image classification
The deep convolution neural network (CNN), which has prominent advantages in feature
learning, can learn and extract features from data automatically. Existing polarimetric …
learning, can learn and extract features from data automatically. Existing polarimetric …
OpenSARUrban: A Sentinel-1 SAR image dataset for urban interpretation
The Sentinel-1 mission provides a freely accessible opportunity for urban image
interpretation based on synthetic aperture radar (SAR) data with a specific resolution, which …
interpretation based on synthetic aperture radar (SAR) data with a specific resolution, which …
A review on synthetic aperture radar for earth remote sensing: Challenges and opportunities
Remote Sensing has received paramount attention in the recent past due to its numerous
applications in environmental studies to benefit the living beings. The advancements in …
applications in environmental studies to benefit the living beings. The advancements in …
A new fusion approach for extracting urban built-up areas from multisource remotely sensed data
Recent advances in the fusion technology of remotely sensed data have led to an increased
availability of extracted urban information from multiple spatial resolutions and multi …
availability of extracted urban information from multiple spatial resolutions and multi …
High-resolution PolSAR scene classification with pretrained deep convnets and manifold polarimetric parameters
W Wu, H Li, L Zhang, X Li, H Guo - IEEE Transactions on …, 2018 - ieeexplore.ieee.org
How to jointly use spatial and polarimetric information in PolSAR analysis has long been an
open question. Benefiting from advanced architectures and large visual databases, deep …
open question. Benefiting from advanced architectures and large visual databases, deep …
Multi-feature classification of multi-sensor satellite imagery based on dual-polarimetric sentinel-1A, landsat-8 OLI, and hyperion images for urban land-cover …
T Zhou, Z Li, J Pan - Sensors, 2018 - mdpi.com
This paper focuses on evaluating the ability and contribution of using backscatter intensity,
texture, coherence, and color features extracted from Sentinel-1A data for urban land cover …
texture, coherence, and color features extracted from Sentinel-1A data for urban land cover …
Eigenvalue-based urban area extraction using polarimetric SAR data
S Quan, B Xiong, D Xiang, L Zhao… - IEEE Journal of …, 2018 - ieeexplore.ieee.org
Urban area extraction using polarimetric synthetic aperture radar (PolSAR) data has
become a potential mean to urban studies because it holds the promise that the radar …
become a potential mean to urban studies because it holds the promise that the radar …