Results 31 to 40 of about 206 (121)

Edge Prior Multilayer Segmentation Network Based on Bayesian Framework

Journal of Sensors, Volume 2020, Issue 1, 2020., 2020
In recent years, methods based on neural network have achieved excellent performance for image segmentation. However, segmentation around the edge area is still unsatisfactory when dealing with complex boundaries. This paper proposes an edge prior semantic segmentation architecture based on Bayesian framework.
Chu He, Zishan Shi, Peizhang Fang, Dehui Xiong, Bokun He, Mingsheng Liao, Vincenzo Marletta   +6 more
wiley   +1 more source

Urban Flood Detection Using TerraSAR-X and SAR Simulated Reflectivity Maps

Remote Sensing, 2022
Synthetic Aperture Radar (SAR) imagery is a vital tool for flood mapping due to its capability to acquire images day and night in almost any weather and to penetrate through cloud cover.
Shadi Sadat Baghermanesh, Shabnam Jabari, Heather McGrath   +2 more
doaj   +1 more source

Improved Three-stage Algorithm of Forest Height Retrieval with PolInSAR

Leida xuebao, 2014
Employing Polarimetric Interferometry Synthetic Aperture Radar (PolInSAR) data to inverse forest parameters is a hot topic in the research field of PolInSAR. The typical forest parameter inversion algorithm is the three-stage inversion algorithm based on
Xu Li-ying, Li Shi-qiang, Deng Yun-kai, Wang Yu   +3 more
doaj   +1 more source

Forest Height Mapping Using Complex-Valued Convolutional Neural Network

IEEE Access, 2019
Global forest height and biomass mapping is an important issue for ecosystem studies. Polarimetric synthetic aperture radar (SAR) interferometry (PolInSAR) is an attractive technique for extracting forest parameters by inverting the physical scattering ...
Xiao Wang, Haipeng Wang
doaj   +1 more source

Forest Height Estimation Using a Single-Pass Airborne L-Band Polarimetric and Interferometric SAR System and Tomographic Techniques

Remote Sensing, 2021
This paper addresses forest height estimation for boreal forests at the test site of Edson in Alberta, Canada, using dual-baseline PolInSAR dataset measured by Intermap’s single-pass system. This particular dataset is acquired by using both ping-pong and
Yue Huang, Qiaoping Zhang, Laurent Ferro-Famil   +2 more
doaj   +1 more source

A Machine-Learning Approach to PolInSAR and LiDAR Data Fusion for Improved Tropical Forest Canopy Height Estimation Using NASA AfriSAR Campaign Data

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2018
This paper investigates the benefits of integrating multibaseline polarimetric interferometric SAR (PolInSAR) data with LiDAR measurements using a machine-learning approach in order to obtain improved forest canopy height estimates.
Maryam Pourshamsi, Mariano Garcia, Marco Lavalle, Heiko Balzter   +3 more
doaj   +1 more source

An improved adaptive decomposition method for forest parameters estimation using polarimetric SAR interferometry image

European Journal of Remote Sensing, 2019
Forest parameters estimation using polarimetric synthetic aperture radar interferometry (PolInSAR) images is one of the greatest interests in remote sensing applications.
Nghia Pham Minh, Tan Nguyen Ngoc, An Hung Nguyen   +2 more
doaj   +1 more source

Capabilities of BIOMASS Three-Baseline PolInSAR Mode for the Characterization of Tropical Forests

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
As the 7th Earth Explorer Mission within the ESA Earth Observation Program, BIOMASS will be the first spaceborne P-band polarimetric interferometric SAR (PolInSAR) mission, dedicated to global forest remote sensing.
Yanzhou Xie, Laurent Ferro-Famil, Yue Huang, Thuy Le Toan, Jianjun Zhu, Haiqiang Fu, Peng Shen   +6 more
doaj   +1 more source

A Polarization Stacking Method for Optimizing Time-Series Interferometric Phases of Distributed Scatterers

Remote Sensing, 2022
For time-series interferometric phases optimization of distributed scatterers (DSs), the SqueeSAR technology used the phase linking (PL) to extract the equivalent single-master (ESM) interferometric phases from the multilooking time-series coherence ...
Peng Shen, Changcheng Wang, Jun Hu
doaj   +1 more source

Damage Degree Evaluation of Earthquake Area Using UAV Aerial Image

International Journal of Aerospace Engineering, Volume 2016, Issue 1, 2016., 2016
An Unmanned Aerial Vehicle (UAV) system and its aerial image analysis method are developed to evaluate the damage degree of earthquake area. Both the single‐rotor and the six‐rotor UAVs are used to capture the visible light image of ground targets. Five types of typical ground targets are considered for the damage degree evaluation: the building, the ...
Jinhong Chen, Haoting Liu, Jingchen Zheng, Ming Lv, Beibei Yan, Xin Hu, Yun Gao, Nicolas Avdelidis   +7 more
wiley   +1 more source