Relationship Between Corrosion Level of Steel Bar and Diameter of Corroded Sensing Steel Wire in Wireless Sensor

A kind of wireless sensor was previously developed,which is powered and transmit signals wirelessly instead of using an electrical connection to the embedded reinforcement.Based on this technique,the relationship between diameters of corroded sensing steel wires and corrosion levels of steel bars is established by experiments.Quadratic function is utilized to fit the experiment results,and the correlation coefficients are all larger than 0.95.Estimated corrosion levels of commonly used steel bars are given for different diameters of corroded sensing steel wires fractured due to corrosion.     

基于改进的PRI方法对植被冠层叶绿素含量的反演

叶绿素是植被光合作用的重要色素，对植被的健康状况有直接的指示作用。利用遥感技术准确、快速地获取植被叶绿素含量对精准农业具有重要意义。文章在对各种光化学植被指数（Photochemical Reflectance Index，PRI）与叶绿素含量进行敏感性分析的基础上，提取出对叶绿素变化较为敏感的组合形式，并考虑土壤背景的影响，提出了一种改进的PRI模型，同时利用在小汤山试验田获取的地面采样数据和实用模块化成像光谱仪（Operative Modular Imaging Spectrometer，OMIS）数据进行验证。结果表明，基于OMIS高光谱数据，模型能够很好地对植被冠层的叶绿素含量进行反演，反演的叶绿素含量与实测值具有较好的相关性。     

Experiment for mapping land cover and it’s change in southeastern Sri Lanka utilizing 250 m resolution MODIS imageries

Utilizing freely available MODIS NDVI and Natural color imageries of 250 m spatial resolution produced by NASA, an experiment was made to map land-cover and its change with an emphasis on vegetation cover in southeastern Sri Lanka, which plays a vital role for control of green house gas. For the change detection purpose, 1987 land cover map made by present authors from Landsat MSS image and extensive ground truth survey data was used as the base map. The result of the experiment shows that MODIS data are useful to make a land cover map of 250 m spatial resolution for tropical areas with high cloud coverage like Sri Lanka. It was found that the forest cover decrease amounted as large as 21% in 19 years time span in southeastern Sri Lanka, the prominent forest region of the country. On the other hand homestead/vegetation and mixed vegetation/scrub dominant categories increased by 13.7% and 7.1%, respectively. These changes are considered due to a large clearance of forest areas for agriculture and building houses to accommodate increasing inhabitants.     

Deriving remote sensing reflectance from turbid Case II waters using green-shortwave infrared bands based model

The objectives of this study are to validate the applicability of a shortwave infrared atmospheric correction model (SWIR-based model) in deriving remote sensing reflectance in turbid Case II waters, and to improve that model using a proposed green-shortwave infrared model (GSWIR-based model). In a GSWIR-based model, the aerosol type is determined by a SWIR-based model and the reflectance due to aerosol scattering is calculated using spectral slope technology. In this study, field measurements collected from three independent cruises from two different Case II waters were used to compare models. The results indicate that both SWIR- and GSWIR-based models can be used to derive the remote sensing reflectance at visible wavelengths in turbid Case II waters, but GSWIR-based models are superior to SWIR-based models. Using the GSWIR-based model decreases uncertainty in remote sensing reflectance retrievals in turbid Case II waters by 2.6–12.1%. In addition, GSWIR-based model’s sensitivity to user-supplied parameters was determined using the numerical method, which indicated that the GSWIR-based model is more sensitive to the uncertainty of spectral slope technology than to that of aerosol type retrieval methodology. Due to much lower noise tolerance of GSWIR-based model in the blue and near-infrared regions, the GSWIR-based model performs poorly in determining remote sensing reflectance at these wavelengths, which is consistent with the GSWIR-based model’s accuracy evaluation results.     

Spectral transformation of ASTER and Landsat TM bands for lithological mapping of Soghan ophiolite complex,south Iran

Spectral transformation methods, including correlation coefficient (CC) and Optimum Index Factor (OIF), band ratio (BR) and principal component analysis (PCA) were applied to ASTER and Landsat TM bands for lithological mapping of Soghan ophiolitic complex in south of Iran. The results indicated that the methods used evidently showed superior outputs for detecting lithological units in ophiolitic complexes. CC and OIF methods were used to establish enhanced Red–Green–Blue (RGB) color combination bands for discriminating lithological units. A specialized band ratio (4/1, 4/5, 4/7 in RGB) was developed using ASTER bands to differentiate lithological units in ophiolitic complexes. The band ratio effectively detected serpentinite dunite as host rock of chromite ore deposits from surrounding lithological units in the study area. Principal component images derived from first three bands of ASTER and Landsat TM produced well results for lithological mapping applications. ASTER bands contain improved spectral characteristics and higher spatial resolution for detecting serpentinite dunite in ophiolitic complexes. The developed approach used in this study offers great potential for lithological mapping using ASTER and Landsat TM bands, which contributes in economic geology for prospecting chromite ore deposits associated with ophiolitic complexes.     

Examining LiDAR – WorldView-3 data synergy to generate a detailed stand map in a mixed forest in the north-west of Turkey

Although stand delineation approach based on aerial photographs and field survey produces high accuracy maps, it is labour-intensive and time consuming. Furthermore, conventional forest stand maps may have some uncertainties that can hardly be verified due to the experiments and skills of photo-interpreters. Therefore, researchers have been seeking more objective and cost-effective methods for forest mapping. LiDAR (Light Detection and Ranging) data have a high potential to automatically delineate forest stands. Unlike optical sensors, LiDAR height data provides information about both the horizontal and vertical structural characteristics of forest stands. However, it deprives of spectral data that may be successfully used in separating tree species. In this study, we investigate the potential of LiDAR – WorldView-3 data synergy for the automatic generation of a detailed forest stand map which can be used for a tactical forest management plan. Firstly, image segmentation was applied to LiDAR data alone and LiDAR/WorldView-3 data set in order to obtain the most suitable image objects representing forest stands. Visual inspection of the segmentation results showed that image objects based on the LiDAR/WorldView-3 data set were more compatible with the reference forest stand boundaries. After the segmentation process, the LiDAR and LiDAR/WorldView-3 data sets were independently classified using object-based classification method. We tested two levels of classification. The first was a detailed classification with 14 classes considering reference stand types. The second was the rough classification with 9 classes where some stand types were combined. The mean, standard deviation and texture features of LiDAR metrics and spectral information were used in the classification. The accuracy assessment results of LiDAR data showed that the Overall Accuracy (OA) was calculated as 0.31 and 0.43, and the Kappa Index (KIA) was calculated as 0.26 and 0.32 for the detailed and rough classifications, respectively. For the LiDAR/WorldView-3 data set, the OA values were calculated as 0.50 and 0.61, and the KIA were calculated as 0.46 and 0.55 for the detailed and rough classifications, respectively. These results showed that the forest stand map derived from the LiDAR/WorldView-3 data synergy is more compatible with the reference forest stand map. In conclusion, it can be said that the forest stand maps produced in this study may provide strategic forest planning needs, but it is not sufficient for tactical forest management plans.     

嵌入式大气数据测量系统技术研究进展

针对高超声速飞行器大气数据测量问题，对嵌入式大气数据测量系统(FADS)技术研究背景、发展历程、国内外研究现状等进行了概括。重点围绕FADS关键技术、FADS解算算法及面向FADS/INS组合测量系统信息融合算法方面，对FADS技术进行了深入的剖析。最后，展望了FADS技术未来的发展方向及应用前景。     

基于测绘业务的遥感图像质量标准开发研究

评价遥感图像的质量既可以采用客观的方法也可以采用主观的方法。重点研究了遥感图像质量主观评价方法。回顾了主观评价使用的量表法和任务满足度法的主要思想。由1∶500～1∶10 000比例尺制图的图示要求,概括出了若干个典型的满足一定规范要求的测绘业务,设计了一个心理物理试验,对这些测绘业务进行了研究,开发了一个面向1∶500～1∶10 000比例尺制图的主观图像质量评价标准。     

REMOTE SENSING IMAGE CODING METHOD COMBINING WAVELET TRANSFORM WITH CLASSIFIED VECTOR QUANTIZATION

A new remote sensing image coding scheme based on the wavelet transform and classified vector quantization (CVQ) is proposed. The original image is first decomposed into a hierarchy of 3 layers including 10 subimages by DWT. The lowest frequency subimage is compressed by scalar quantization and ADPCM. The high frequency subimages are compressed by CVQ to utilize the similarity among different resolutions while improving the edge quality and reducing computational complexity. The experimental results show that the proposed scheme has a better performance than JPEG, and a PSNR of reconstructed image is 31～33 dB with a rate of 0.2 bpp.     

基于MPI的卫星遥感数据实时处理平台设计

针对高速率卫星遥感数据实时处理的要求,设计了一种卫星遥感数据实时处理平台。该平台采用分层设计思想,自上而下分为表现与控制层、业务处理层、基础服务层和应用支持层。结合消息传递接口(MPI)技术,构建了分布式实时并行处理平台框架。原型系统验证结果表明,该平台能处理下传码速率达450Mbit/s的双通道数据,单通道处理速率高达6Gbit/s。文章提出的平台设计应用于遥感卫星的地面检测系统,具有处理速度快、运行稳定的优点。