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Quantum robust control has been recognized as a critical issue in quantum systems, since many quantum systems are unavoidably subject to disturbances and uncertainties in practical applications. Considered uncertainty of Hamiltonian in the Markovian quantum system, on one hand this paper define the control effect based on fidelity, purity and degree of coherence, on the other hand design control scheme...
The two-satellite Copernicus Sentinel-1 (S1) constellation became operational in Sep 2016, with the successful in-orbit commissioning of the S1B unit. During, the commissioning phase and early operational phase it has been confirmed that the interferometric performance of the constellation is excellent, with no observed phase anomalies. In this work, we show an analysis of selected performance parameters...
Space-borne interferometric SAR has advanced significantly in the last decades, with many successful Earth monitoring applications. The key point of this success lies in the fact that interferometric SAR supplies unprecedented phase and amplitude information characterizing target's physical parameters. This paper presents the role of interferometric SAR, specifically considering the bistatic mission...
PALSAR-2 on ALOS-2 developed by JAXA, is a follow-on L-band SAR sensor from PALSAR on ALOS. The mission objectives defined by JAXA include contribution to disaster monitoring. To establish the methodology to acquire the damaged area for disaster monitoring, we need to improve our understanding of the relationships between the sensor parameters (e.g., coherence and errors of the interferogram) and...
In this paper we describe the method that has been implemented to derive the forest/non-forest maps from TanDEM-X interferometric synthetic aperture radar (InSAR) data, globally acquired in stripmap single polarization (HH) mode. Among the several observables systematically provided by the TanDEM-X system, the volume decorrelation contribution, derived from the interferometric coherence, shows to...
Polarimetric SAR interferometry (PolInSAR) is a promising remote sensing technique that has been frequently used for extracting forest height. The existing methods such as the ESPRIT method and three-stage inversion algorithm tend to underestimate the forest height due to attenuation of the electromagnetic waves in the ground medium. This paper proposes an improved hybrid inversion method based on...
One of the main applications of SAR interferometry is the monitoring of hazard risks related with urban subsidence and landslide instabilities. The different sensors available offer different carrier frequencies, image swaths and resolutions. Depending on the extension of the area and phenomena to monitor, one particular mode can be more suitable than others. In this paper the benefits of high-resolution...
We present a model-based approach aimed to help predicting which objects in an imaged scene will appear as persistent scatterers in Differential Synthetic Aperture Radar Interferometry (DInSAR) data, given their shapes and sizes, and given the scene background and sensor parameters. The approach consists in computing the interferometric coherence of a pair of acquisitions for a resolution cell comprising...
This paper presents the first results generated with the TanDEM-X mission for the monitoring of the topographical changes caused by the series of earthquakes that hit central Italy between summer and autumn 2016. For the purpose, two 300 km long data takes acquired between the Tyrrhenian and the Adriatic coasts and covering the October, 30, earthquake epicenter location have been considered. The takes...
This paper presents the overall strategy of fusion of full waveform LIDAR and L-band Polarimetric and Interferometric radar (PolInSAR) images of forests in order to predict the forest vertical profile where there is no LIDAR information. The images considered are the radar dataset collected by the Uninhabited Vehicle Synthetic Aperture Radar (UAVSAR) and the Lidar vertical full waveforms acquired...
Spaceborne SAR interferometry (InSAR) has the potential of detecting forest change on a global scale with fine (meter-level) spatial resolution as well as on a monthly/weekly basis regardless of day or night. This is significant to characterize the land-use change and its impact on climate change. In this paper, both single-pass and repeat-pass SAR interferometry from spaceborne sensors are combined...
Cloude and Pottier H/α feature space [1] is one of the most employed methods for unsupervised PolSAR data classification based on Incoherent Target Decomposition. The association of the coherence matrix eigenvectors to the most dominant scatters in the analysed pixel introduces unfeasible regions in the H/α plane. The Independent Component Analysis provides promising new information to better interpret...
TanDEM-X forms together with TerraSAR-X the first single-pass polarimetric interferometer in space. This allows for the first time the acquisition and analysis of Single-, Dual-, and Quad-Pol-InSAR data without the disturbing effect of temporal decorrelation globally. For this reason, the exploration of TanDEM-X data for forestry is constantly increasing especially concerning forest height estimation,...
The utility of synthetic aperture radar (SAR) data to produce flood delineation maps is well established. However, for what concerns urban settlements, flood mapping still represents a challenge, because the radar signatures of flooded urban pixels are generally ambiguous. As a matter of fact, flood mapping algorithms generally do not consider urban areas, thus producing a lot of missed detection...
Kapok is a Python library created to estimate forest height using repeat-pass polarimetric synthetic aperture radar interferometry (PolInSAR). The library can import data collected by NASA's Uninhabited Aerial Vehicle Synthetic Aperture Radar (UAVSAR) sensor. The library includes functions for data visualization, coherence region plotting, coherence optimization, and inversion of the random volume...
Ecological patterns and process in the active layer overlying permafrost are expected to undergo significant changes. This study aims to evaluate the capability of L-band fully polarimetric SAR data for monitoring spatio-temporal variability of permafrost ecosystems and underlying soil conditions. ALOS PALSAR polarimetric mode data acquired in freezing and melting seasons over Eastern Siberia are...
We present a novel approach for phase denoising in Interferometric Synthetic Aperture Radar (InSAR) images, named as Block-Matching InSAR (BMInSAR). It uses k-means clustering to solve the block matching similarity search problem, thus simplifying preprocessing steps and filtering several reference-blocks at once. Also, we propose a novel methodology based on ground-truth GPS measurements to assess...
Rice is one of the most important crop, especially in Asian countries. In this paper, estimation of rice paddy height is conducted by Pol-InSAR technique, using a single-polarization TanDEM-X (TDX) data. It is necessary to modify a conventional Pol-InSAR inversion method for the single polarization because of the underdetermined problem in Random Volume over Ground (RVoG) model. In order to resolve...
In 2016, the Advanced Land Observing Satellite-2 (ALOS-2, “DAICHI-2”) observed various disaster affected areas. Japan Aerospace Exploration Agency (JAXA) operated the emergency observation more than hundred times in the year. The Phased Array type L-band Synthetic Aperture Radar-2 (PALSAR-2) aboard ALOS-2 contributed for detecting the disaster affected area, ground deformation and flood affected area...
To explore the capability of quad polarimetric SAR images from a new pursuit monostatic mode of TerraSAR-X and TanDEM-X, a novel process chain for ship detection and velocity estimation is proposed in this paper. Compared with the classic processing chain used for single SAR image, more efficient techniques are integrated into this novel chain, which take advantage of the new image mode and its excellent...
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