利用极化SAR数据进行土地覆盖分类研究     

余海坤  张永红  汪云甲 《海洋测绘》2006,26(3):34-38

基于相关矩阵特征向量的目标分解将地物回波复杂的散射过程分解成相互独立的三种单一散射分量:单向散射、双向散射和交叉散射,分别对应各自的目标相关矩阵。目标分解技术降低了散射回波之间的相关性,有利于分析地物散射机理,有助于提高分类精度。对荷兰F levoland地区全极化数据进行分解,经过试验和相关性分析,选用7种数据形成多参数数据组合,对其进行最大似然监督分类,同时进行常规三种极化加相位差的分类和基于复W ishart分布的最大似然分类,逐像元计算混淆矩阵,分析对比三种分类结果的精度,试验表明:相对于常规数据组合分类,基于复W ishart分布的监督分类可以小幅度提高分类精度,而利用目标分解得到多参数组合数据进行分类则有大幅度的提高。  相似文献   

粤东南澳岛青澳海滩侵蚀退化风险评价及其安全调控          下载免费PDF全文

李平  杜军  张志卫  徐国强 《海洋科学进展》2020,38(1):171-181

分析了南澳岛海滩资源储量、空间分布及其开发利用现状,开展海岛海滩侵蚀风险评价,选择青澳海滩开展岸滩及其海湾海床地形、沉积物、动力泥沙调查,分析探讨了青澳海滩泥沙动力沉积特征,灾变退化过程机制,并从海滩稳定性和游客安全角度给出安全调控建议。结果表明:1)南澳岛海滩资源储量与侵蚀风险区域分异特征明显,其中青澳海滩旅游活动频繁、开发强度大,侵蚀退化风险等级高,人为破坏干扰抑制滩海泥沙交换,无序无度占滩开发与利用破坏了海滩自然演化进程,短期过量旅游活动加速海滩侵蚀退化进程;2)青澳湾沉积物以粗粒砂为主,沙源供给不足,不同岸段岸线进退与岸滩蚀淤与海滩方位、波浪动力强度强弱关系密切,具有明显的纵向沉积地貌分带特征。湾内落潮优势流(SE)优于涨潮(NW),对泥沙输运进入湾内具有抑制作用,潮周期海湾泥沙自湾内向湾外输运,泥沙以外输为主单宽输沙为3 400 t;3)青澳海滩存在严重的"无序占滩建筑,污水肆意排放,管理不规范"等问题,监测评价亦表明侵蚀退化风险巨大,游客安全面临着风险隐患,建议青澳海滩实行以生态化养护开发和"游客为中心"为理念的安全调控措施,设立红线及安全标示。该研究为岛礁生态建设、海岛保护及修复提供科学依据。  相似文献   

海洋经济红藻江蓠科的分类研究现状及存在的问题          下载免费PDF全文

丁兰平  杨楠  刘金梅  姜晶晶  黄冰心 《应用海洋学学报》2020,39(1):144-151

江蓠科红藻是重要的经济海藻,用途十分广泛。然而,近年来受分子生物学技术引入等的影响,其分类学地位引起了极大争议。针对这个问题,本研究以争议比较大的江蓠属(Gracilaria)、拟江蓠(龙须菜)属(Gracilariopsis)和多穴藻属(Polycavernosa)为对象,总结归纳了其物种多样性、国内外研究进展、存在的问题、学者试图解答的问题以及部分自己的研究结果。以期为该类群的研究提供相对详细、客观的参考数据。  相似文献   

An overview of clustering methods for geo-referenced time series: from one-way clustering to co- and tri-clustering     

Xiaojing Wu  Raul Zurita-Milla  Changqing Song 《International journal of geographical information science》2020,34(9):1822-1848

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Tree species identification within an extensive forest area with diverse management regimes using airborne hyperspectral data     

《International Journal of Applied Earth Observation and Geoinformation》2020

Information on tree species composition is crucial in forest management and can be obtained using remote sensing. While the topic has been addressed frequently over the last years, the remote sensing-based identification of tree species across wide and complex forest areas is still sparse in the literature. Our study presents a tree species classification of a large fraction of the Białowieża Forest in Poland covering 62 000 ha and being subject to diverse management regimes. Key objectives were to obtain an accurate tree species map and to examine if the prevalent management strategy influences the classification results. Tree species classification was conducted based on airborne hyperspectral HySpex data. We applied an iterative Support Vector Machine classification and obtained a thematic map of 7 individual tree species (birch, oak, hornbeam, lime, alder, pine, spruce) and an additional class containing other broadleaves. Generally, the more heterogeneous the area was, the more errors we observed in the classification results. Managed forests were classified more accurately than reserves. Our findings indicate that mapping dominant tree species with airborne hyperspectral data can be accomplished also over large areas and that forest management and its effects on forest structure has an influence on classification accuracies and should be actively considered when progressing towards operational mapping of tree species composition.  相似文献   

Mapping wetland characteristics using temporally dense Sentinel-1 and Sentinel-2 data: A case study in the St. Lucia wetlands,South Africa     

《International Journal of Applied Earth Observation and Geoinformation》2020

Wetlands have been determined as one of the most valuable ecosystems on Earth and are currently being lost at alarming rates. Large-scale monitoring of wetlands is of high importance, but also challenging. The Sentinel-1 and -2 satellite missions for the first time provide radar and optical data at high spatial and temporal detail, and with this a unique opportunity for more accurate wetland mapping from space arises. Recent studies already used Sentinel-1 and -2 data to map specific wetland types or characteristics, but for comprehensive wetland characterisations the potential of the data has not been researched yet. The aim of our research was to study the use of the high-resolution and temporally dense Sentinel-1 and -2 data for wetland mapping in multiple levels of characterisation. The use of the data was assessed by applying Random Forests for multiple classification levels including general wetland delineation, wetland vegetation types and surface water dynamics. The results for the St. Lucia wetlands in South Africa showed that combining Sentinel-1 and -2 led to significantly higher classification accuracies than for using the systems separately. Accuracies were relatively poor for classifications in high-vegetated wetlands, as subcanopy flooding could not be detected with Sentinel-1’s C-band sensors operating in VV/VH mode. When excluding high-vegetated areas, overall accuracies were reached of 88.5% for general wetland delineation, 90.7% for mapping wetland vegetation types and 87.1% for mapping surface water dynamics. Sentinel-2 was particularly of value for general wetland delineation, while Sentinel-1 showed more value for mapping wetland vegetation types. Overlaid maps of all classification levels obtained overall accuracies of 69.1% and 76.4% for classifying ten and seven wetland classes respectively.  相似文献   

In-season crop classification using elements of the Kennaugh matrix derived from polarimetric RADARSAT-2 SAR data     

《International Journal of Applied Earth Observation and Geoinformation》2020

Accurate spatio-temporal classification of crops is of prime importance for in-season crop monitoring. Synthetic Aperture Radar (SAR) data provides diverse physical information about crop morphology. In the present work, we propose a day-wise and a time-series approach for crop classification using full-polarimetric SAR data. In this context, the 4 × 4 real Kennaugh matrix representation of a full-polarimetric SAR data is utilized, which can provide valuable information about various morphological and dielectric attributes of a scatterer. The elements of the Kennaugh matrix are used as the parameters for the classification of crop types using the random forest and the extreme gradient boosting classifiers.The time-series approach uses data patterns throughout the whole growth period, while the day-wise approach analyzes the PolSAR data from each acquisition into a single data stack for training and validation. The main advantage of this approach is the possibility of generating an intermediate crop map, whenever a SAR acquisition is available for any particular day. Besides, the day-wise approach has the least climatic influence as compared to the time series approach. However, as time-series data retains the crop growth signature in the entire growth cycle, the classification accuracy is usually higher than the day-wise data.Within the Joint Experiment for Crop Assessment and Monitoring (JECAM) initiative, in situ measurements collected over the Canadian and Indian test sites and C-band full-polarimetric RADARSAT-2 data are used for the training and validation of the classifiers. Besides, the sensitivity of the Kennaugh matrix elements to crop morphology is apparent in this study. The overall classification accuracies of 87.75% and 80.41% are achieved for the time-series data over the Indian and Canadian test sites, respectively. However, for the day-wise data, a ∼6% decrease in the overall accuracy is observed for both the classifiers.  相似文献   

基于自然间断点分级法的土地利用数据网格化分析   总被引：4，自引：0，他引：4  

李乃强  徐贵阳 《测绘通报》2020,(4):106

土地利用在自然资源统一管理中扮演着重要角色,面对不同区域和年份的数据,统一分析比对口径尤为重要,同时也应反映出相互之间的差异。本文以宜兴市2009年和2017年土地利用现状数据为数据源,首先使用统一的分类标准提取用地类型中的3大类,通过不同大小的单元划分尝试和结果分析,发现适用于该数据的网格尺度大小;然后基于自然间断点分级法进行分级范围划定,对宜兴市三类用地类型的分布和变化趋势进行综合分析,较为真实地反映了宜兴市用地情况;最后通过选用合适的空间尺度和分级范围划定方法,进而构建一个兼具操作性和科学性的土地利用数据网格化方法,为自然资源部门统筹管理和综合治理提供依据。  相似文献   

电力巡线LiDAR点云电塔自动定位和提取算法     

黄陆君  陈光平  袁帅  涂朴  乔杰 《测绘通报》2020,(4):53

针对电力巡线机载激光雷达（LiDAR）激光点云电塔自动提取问题,提出了一种电塔自动定位和点云提取算法。首先,基于点云进行二维空间网格划分,利用网格点云高程偏差和方差特征提取潜在电塔网格;其次,基于电塔点云的高程连续特性完成电塔自动定位和点云粗提取;然后,利用点云分层密度信息和图像开运算,实现电塔精细提取;最后,利用轻小型无人机载激光雷达数据验证本文算法的有效性。试验结果表明,本文所提出的自动提取算法,能够有效解决LiDAR数据中电塔自动定位和点云提取问题,在LiDAR数据质量较差时仍能够取得良好效果,算法对于噪点数据具有较强的稳健性。本文所提出的电塔自动提取算法在LiDAR电力巡检数据处理中具有一定的应用价值。  相似文献   

地表覆盖分类成果质量特征分析   总被引：1，自引：1，他引：0  

商建伟 《测绘通报》2020,(9):159-161

自我国全面建成地理国情普查成果库之后,工作重心由全面普查变为重点监测。不论普查还是监测,准确地对地表覆盖进行分类一直是工作的重点和难点。在常态化监测阶段,把握地表覆盖分类成果的主要质量指标,归纳其诸如变化率、变化区域分布、变化类型,分析影响其成果质量的主要因素,对监测生产组织及质量控制具有非常重要的作用。  相似文献