Remote sensing detection of gold related alteration zones in Um Rus area, Central Eastern Desert of Egypt

Advanced Spaceborne Thermal Emission and Reflection Radiometer (ASTER) and Phased Array L-band Synthetic Aperture Radar (PALSAR) images covering the Um Rus area in the Central Eastern Desert of Egypt were evaluated for mapping geologic structure, lithology, and gold-related alteration zones. The study area is covered by Pan-African basement rocks including gabbro and granodiorite intruded into a variable mixture of metavolcanics and metasediments. The first three principal component analyses (PCA1, PCA2, PCA3) in a Red-Green-Blue (RGB) of the visible through shortwave-infrared (VNIR + SWIR) ASTER bands enabled the discrimination between lithological units. The results show that ASTER band ratios ((2 + 4)/3, (5 + 7)/6, (7 + 9)/8) in RGB identifies the lithological units and discriminates the granodiorite very well from the adjacent rock units.The granodiorites are dissected by gold-bearing quartz veins surrounded by alteration zones. The microscopic examination of samples collected from the alteration zones shows sericitic and argillic alteration zones. The Spectral Angle Mapper (SAM) and Spectral Information Divergence (SID) supervised classification methods were applied using the reference spectra of the USGS spectral library. The results show that these classification methods are capable of mapping the alteration zones as indicated by field verification work. The PALSAR image was enhanced for fracture mapping using the second moment co-occurrence filter. Overlying extracted faults and alteration zone classification images show that the N30E and N-S fractures represent potential zones for gold exploration. It is concluded that the proposed methods can be used as a powerful tool for ore deposit exploration.     

An optimal selection of probability distribution functions for unsupervised land cover classification of PALSAR-2 data

Different types of classification techniques are available in the literature for the classification of Synthetic Aperture Radar (SAR) data into various land cover classes. Various SAR images are available for land cover classification such as ALOS PALSAR (PALSAR-1, PALSAR-2), RADARSAT and ENVISAT. In this paper, we have attempted to explore probability distribution function (pdf) based land cover classification using PALSAR-2 data. Over 20 different statistical distribution functions are analyzed for different classes based on statistical parameters. Probability distribution functions are selected based on Chi-squared goodness of fit test for each individual class. A decision tree based classifier is developed for classification based on the selected pdf functions and its statistical parameters. The proposed classification approach has an accuracy of 83.93%.     

Soil moisture estimation by using multipolarization SAR image

In the past studies, different soil moisture estimation models were developed for bare soil areas by using remotely-sensed data. However, there are few models that can be used to estimate soil moisture in vegetated areas. Water Cloud Model (WCM) model is a widely used soil moisture estimation model has been developed for vegetated areas. In this study, the WCM model was extended to take soil roughness parameter into consideration. The modeling and its accuracy assessment were done by using multi-polarization Airborne Synthetic Aperture Radar (AIRSAR) images and ground data collected during field Soil Moisture Experiments.     

A comparative analysis of SLR,MLR, ANN,XGBoost and CNN for crop height estimation of sunflower using Sentinel-1 and Sentinel-2

Sustainable monitoring and determining the biophysical characteristics of crops is of global importance due to the increase in demand for food. In this context, remote sensing data provide valuable information on crops. This study investigates the relationship between the variables determined from both Synthetic Aperture Radar (SAR) and optical images and crop height. For this purpose, backscatter (σVH, σVV, σVH / σVV) and coherence (?VH, ?VV) of multi-temporal dual-polarized Sentinel-1 and vegetation indices of multi-temporal Sentinel-2 data are analyzed. Two indices, namely, Normalized Difference Vegetation Index (NDVI) and NDVI with the red-edge band (NDVIred), are interpreted to identify the contribution of the red-edge band over the near-infrared band. The Zile District of Tokat province in Turkey where dominantly sunflower cultivation is carried out, was selected as the study area. In the analysis of the data, Simple Linear Regression (SLR), Multiple Linear Regression (MLR), Artificial Neural Network (ANN), EXtreme Gradient Boosting (XGBoost), and Convolutional Neural Network (CNN) were used. In the results of the study, ANN showed the lowest RMSE = 3.083 cm (RMSE%= 11.284) in the stem elongation period. The CNN followed the lowest RMSE for the Inflorescence development and flowering stages 19.223 cm (RMSE%=15.458) and 8.731 cm (RMSE%=5.821), respectively. In the ripening period, XGBoost achieved the lowest RMSE = 8.731 cm (RMSE%=6.091). All the best models in four methods were created using common variables of σVH, σVV, ?VH, ?VV and NDVIred, except ANN which exclude coherence variables. The results concluded that NDVIred contributed more than NDVI which is widely interpreted in previous studies.     

面向综合环境监测的星载SAR技术发展

针对中国微波遥感对地观测在信息维度、反演精度、观测效率和体系架构等方面存在的问题,基于国家重点研发计划“星载新体制SAR综合环境监测技术”的研究内容与成果,探讨了面向综合环境监测的若干未来星载SAR技术发展。在超大幅宽成像方面,提出分段渐变重频时序设计方案和基于最优线性无偏估计的低过采样变重频数据处理算法,实现了跨盲区大幅宽星载SAR成像;在宽幅星载SAR高灵敏度成像方面,提出中频数字波束合成高效星上实时处理架构和加权因子快速生成算法,采用16通道机载飞行试验数据验证,图像信噪比提升约112dB;在多极化星载SAR成像方面,分别提出一种简缩极化分解算法及混合全极化方位模糊抑制方法,在P/L波段机载飞行试验中得到验证;在高精度干涉SAR技术方面,提出基于改进相位补偿方案的层析SAR处理方法,利用P波段全极化层析SAR数据验证,获得优于0.9m的森林高度反演精度;在综合环境监测星座架构设计方面,针对广域地表高程、地表形变、海浪谱能量、洋流速度和生物量应用,完成品质因数达100的高分宽幅SAR卫星方案,其观测效能和观测维度较目前在轨SAR卫星有大幅提升。     

一种合成孔径雷达回波模拟器校准方法研究CSCD

针对目前合成孔径雷达回波模拟器图像校准方法存在的诸多不足,介绍了一种测量图像参数的方法。根据此方法建立的合成孔径雷达回波模拟器图像校准装置,可以通过对数据的正交解调、脉冲压缩、成像算法以及滤波等处理方法,实现合成孔径雷达回波的成像及校准。     

Fault rupture model of the 2008 Dangxiong (Tibet,China) Mw 6.3 earthquake from Envisat and ALOS data

On October 6, 2008, an Mw 6.3 earthquake occurred in Dangxiong county, southern Tibetan Plateau. In this study, Synthetic Aperture Radar (SAR) images from Envisat ASAR C-band descending Track 176 and ALOS PALSAR L-band ascending Track 500 are processed to generate the coseismic deformation caused by the earthquake. To estimate the source model, a downhill simplex non-linear inversion method is used to determine the fault rupture geometry, and an automatic fault discretization technique is employed to divide the fault plane to construct the optimal slip model, in which the uncertainties of the fault parameters are assessed by a Monte Carlo method. The inversion results show that the earthquake strikes almost south–north and has a normal faulting focal mechanism with rake angle and slip of −111.7° and 1.33 m, respectively. Peak slip of 2.15 m is located at a depth of 7.5 km. The estimated geodetic moment is 4.06 × 10¹⁸ N m (Mw 6.37), 71.2% of which is released in the depth range 4.5–11 km. The slip model suggests that coseismic slip also takes place at some fault patches near the earth’s surface and postseismic afterslip occurs below the coseismic rupture area after the earthquake.     

Preliminary gravity recovery from CryoSat-2 data in the Baffin Bay

A number of geophysical phenomenons in the open ocean are still unresolved by conventional altimetry, but could be resolved through the potential improvements offered by Synthetic Aperture Radar (SAR), also called Delay-Doppler, altimetry. The SAR altimeter offers the following benefits with respect to conventional satellite altimetry: factor of 20 improvements in the along-track resolution, the along-track footprint length which does not vary with wave height (sea state), and improved precision in sea surface height measurements or sea surface slope measurements.     

带状SAR成像对瞄准线加速度及正弦速度误差的要求

对合成孔径雷达载体偏离匀速直线运动的误差进行了详细推导,根据回波信号压缩波形主瓣偏移、二次相位误差、三次相位误差以及积分旁瓣比等图像质量指标最大允许值,给出了沿瞄准线(即雷达天线相位中心至目标视线)同时存在恒定加速度和正弦摆动速度误差时,带状正侧视SAR运动补偿要求的解析式.      

MPI和Pthread混合编程在NCS算法中的设计和实现

根据星载合成孔径雷达（Synthetic Aperture Radar,SAR）实时和准实时成像的需求,论文设计和实现了一种混合编程模式的非线性CS（Nonlinear Chirp Scaling, NCS）成像算法。此方法基于SMP（Symmetric Multiprocessing）集群系统,利用MPI（Message Passing Interface）和Pthread混合编程,实现了多进程和多线程的两级流水线并行成像处理。通过在HP刀片系统上的实验验证和结果分析,这种混合编程的流水线NCS并行成像算法既能较好适应前端系统传输一景原始回波数据时间不小于8s的情况,又能较好适应大规模原始回波数据堆积并且等待处理的情况。     

小波分析理论及其在雷达信号处理中的应用

依据所处理信号类型的不同,对小波变换与短时傅立叶变换进行了比较,说明小波变换适用于非平稳信号和奇异信号的处理.简要介绍了连续小波变换、离散小波变换和小波包理论的基本内容,讨论了小波变换实际应用中的采样和快速算法等几个关键问题.结合矢量量化技术,给出了一种用小波变换对星载SAR(Synthetic Aperture Radar)原始数据进行压缩的方法,结果表明,与传统的方法相比,由该方法压缩后的原始数据生成的SAR图像具有更大的信噪比.同时对小波变换用于雷达目标识别和SAR图像分类的性能进行了初步分析.      

The evaluation of damped Newton variational ocean wind retrieval method

This paper researches on Synthetic Aperture Radar (SAR) ocean wind retrieval approach, evaluates the method of Damped Newton VARiational method (DNVAR) and the direct method (DIRECT) using two years’ real SAR data and different background winds. Experiments are carried out using SENTINEL-1 SAR information as observation, National Data Buoy Center (NDBC) buoy data as in-situ data, Global Forecast System (GFS), Advanced SCATterometer (ASCAT), WindSAT, and Cross-Calibrated Multi-Platform (CCMP) wind products as background data. Thousands of match-ups are extracted. Results show that DNVAR can improve the wind field accuracy when the background data is ASCAT and CCMP. Especially, DNVAR wind speed results are much better than the official product of SENTINEL-1 wind data. The background data is crucial to the wind field retrieval results, so high accuracy of background data could lead to high accuracy results.     

Merging Landsat and spaceborne radar data over Tunisia

Synthetic Aperture Radar data were acquired over Tunisia by Seasat in Aug. 1978 and by SIR-A in Nov. 1981. The radar images are contrasted to the Landsat scenes overlapping the same area. The Landsat images were taken in Aug. 1978 and in Sept. 1981. In this study, subareas of the SIR-A and MSS images are registered to the corresponding Seasat data (1313 lines by 1970 samples). The test site is located East of Kairouan, Tunisia. It is a low relief area with subdesertic climatic conditions. This region was selected for it has been surveyed by both Seasat and SIR-A providing perpendicular radar illumination directions. The multispectral and multitemporal coregistered data set enables comparisons between the systems (radar versus MSS, and Seasat versus SIR-A), and change detection in the desertification processes and on the surface of the playas.     

SAR成像对瞄准线方向运动补偿的要求

载体偏离匀速直线运动的运动误差是合成孔径雷达成像的基本困难之一。文章就载体沿瞄准线方向（即雷达天线相位中心至目标视线）同时存在恒定的速度误差和恒定的加速度、同时存在恒定的速度误差和正弦摆动速度误差两种情况进行了详细推导;根据回波信号压缩波形的主瓣偏移、二次相位误差、三次相位误差以及积分旁瓣比等图像指标的最大允许值,给出了带状正侧视合成孔径雷达瞄准线方向运动补偿定量要求的解析式,并结合一例子进行了计算分析。     

A novel system parameters design and performance analysis method for Distributed Satellite-borne SAR system

As a promising new technology emerged in recent years, the Distributed Satellite-borne SAR (DSS) system with Interferometric Synthetic Aperture Radar (InSAR) imaging capability has been recognized by the remote sensing community as an integrated part of the spaceborne earth observation system. However, most researches on DSS were focused on individual aspects of system design/analysis and data processing, while few studies have been dedicated to establishing a standard methodological framework for universal DSS system design. Aiming at this problem, the topics of DSS system error analysis and design method are investigated in this paper. Firstly, a rigorous error propagation model of height measurement is theoretically derived from the DSS InSAR imaging geometry, and the impact of each error sources in this model on the height measurement accuracy is analyzed individually. In particular, the baseline length and its measurement error in the InSAR imaging plane are identified as the dominant factors. Second, a new method for DSS system design is proposed based on our analyses with the error propagation model. This method consists of two important phases, namely collaboration design and monostatic design. The major objective of collaboration design is to determine the configuration and parameters for the coordination between satellites in the DSS system. Afterwards, the key parameters for single satellite and the payload are determined by the monostatic design. Thirdly, a system performance analysis method is developed to comprehensively evaluate the performance of the pre-designed DSS system. In the next section, a typical example of DSS system design is given to demonstrate the effectiveness of the proposed system design and analysis methods. The target DSS system has the same goal and hardware configuration as the TanDEM-X mission. Finally, the conclusion is drawn with our major findings are presented.     

SAR图像非平稳性对图像模型和滤波降噪方法的影响

从随机过程理论角度按平稳程度把合成孔径雷达(SAR)图像分为分辨单元内平稳、分辨单元内不平稳、处理窗内局部平稳和处理窗内局部不平稳4种情况,研究了非平稳性对图像的斑点乘性噪声模型、场景-斑点乘积模型和结构邻域模型的影响,得出各自的平稳性适用条件,并在此基础上评价了各种滤波降噪方法的性能,用实际数据进行了验证.      

环境C卫星热系统设计与在轨验证

根据环境C卫星的自身特性, 采用以被动式热控制为主和主动热控制为辅的控制方式, 对环境C卫星进行热系统设计. 通过研究环境C卫星的热控设计原则、热设计状态及已解决的关键问题, 对其在轨飞行温度数据进行了分析. 在轨飞行遥测结果表明, 环境C卫星热控系统方案合理, 工作稳定, 性能良好. 星上设备温度环境很好地满足了设计要求.      

Ionosphere tomography based on spaceborne SAR

Two models of ionosphere tomography based on spaceborne SAR (Synthetic Aperture Radar) are proposed. For HF-SAR the signal with sweeping frequency lower than the characteristic frequency of ionosphere will be scatted during the ionosphere propagation and completely reflected at a corresponding height. The ionospheric electron density isolines looked as series of random surfaces can be reconstructed from the HF-SAR echoes by using the inverse scattering technique for layered rough surfaces and the method of moment (MoM). The numerical simulation show that due to the MoM can provide a full wave solution, the ionosphere tomography with high resolution can be obtained as long as enough sampling data of HF-SAR echoes are used. For VHF/UHF/P/L-band SAR the TEC (Total Electron Content) can be obtained from the SAR echoes scattered by some strong point targets (such as the calibrators, etc.) appeared in the SAR imaged ground region, and the ionosphere tomography can be performed by CT technique.     

Application of WorldView-3 imagery and ASTER TIR data to map alteration minerals associated with the Rodalquilar gold deposits,southeast Spain

The Rodalquilar epithermal quartz-alunite gold deposits that occur within the Rodalquilar caldera complex in southeast Spain, are associated with a pronounced hydrothermal alteration of the country rocks. The hydrothermal alteration zones that are exposed on the surface consist of the vuggy silica zone, the advanced argillic alteration zone, the intermediate argillic alteration zone, the propylitic alteration zone, and a second stage supergene acid sulfate alteration. High spatial resolution multispectral imagery recorded by the WorldView-3 satellite was used in this study to map the spatial distribution of the main alteration minerals in the Rodalquilar caldera complex. Thermal infrared (TIR) data of the ASTER satellite were used to detect the quartz-rich zones. The analysis of the Rodalquilar WorldView-3 data was based on the Adaptive Coherence Estimator (ACE), a partial unmixing algorithm. The ACE processing accurately mapped the spatial distribution of alunite, kaolinite, illite and goethite. Alunite is abundant in the vuggy silica and advanced argillic alteration zones, and in the second stage supergene acid sulfate alteration. Kaolinite is predominant in the intermediate argillic alteration zone. Illite is abundant in the outer parts of the intermediate argillic alteration zone. Goethite image maps gossans that mainly occur in the vuggy silica and advanced argillic alteration zones, and in the areas characterized by the second stage supergene acid sulfate alteration. The detection of quartz-rich zones from the ASTER TIR data complemented the WorldView-3 mapping results. The study shows the efficiency of high spatial resolution multispectral remote sensing imagery recorded by the WorldView-3 satellite for district-level mineral exploration studies.     

A Novel Ship Wake Detection Algorithm Based on WTHT and Radon Transform

This paper proposes a novel ship wake detection algorithm based on the White Top-hat Transform (WTHT) and the Radon transform, which aims to improve the contrast between the ship wake and the background so as to improve the detection performance on Synthetic Aperture Radar (SAR) images. The proposed algorithm includes two major processes, and one is to improve the contrast and another one is to locate the ship wake. In high sea state conditions, the contrast of ship wake and background can be very low, which makes it difficult to detect. In the first step, the proposed contrast improvement algorithm is applied to improving the contrast which helps for improving the detection performance. An attribute filter based on edge detection result is adopted here. In the second step the contrast improved image is transformed into the Radon domain followed by peak extraction process to find the wake, the WTHT is used once more in this step. Finally, in the last step, the wake is overlapped on the original image. Experimental results on Tiangong-2 Interferometric Imaging Radar Altimeter (InIRA) images are presented and compared with that obtained by using the classical algorithm, and in this way, the better performance of our algorithm is demonstrated.