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2022年3月下旬，利用固定翼无人机对南瓮河国家级自然保护区内驼鹿（Alces alces）进行航拍调查，估算及分析保护区内驼鹿的种群数量、分布密度和生境因子之间的关系。结果表明：获取无人机影像17 818张，无人机样带拼接面积为206.9 km2。结合目视解译方式识别驼鹿并据此建立驼鹿无人机影像解译标志库。根据无人机样带解译结果，得到驼鹿的种群密度为（0.174±0.038）只/km2，估算出保护区驼鹿的种群数量为310~484只。驼鹿的分布及生境选择中生态因子的分析结果表明，驼鹿主要分布于海拔400~500 m的温带落叶阔叶林中，偏好选择坡度为0°~6°的平缓区域，以及距水源1~3 km和远离公路5 km外的区域。提出一种基于无人机遥感调查大面积区域内大型野生动物种群数量和分布规律的方法，该方法利用无人机平台获取野生动物影像并估算得到野生动物的种群数量，将遥感、地理信息系统与野生动物调查相结合，为野生动物动态监测及保护提供了有效的可视化数据，可为准确获取野生动物的活动区域和栖息地环境参数提供参考。

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In order to test the accuracy of the weapon hitting the target, it is very important to locate and measure the spatial coordinates of the falling point target. Aiming at the needs of space coordinate positioning and measurement of targets falling into the sea/ground plane, this paper studies a positioning method of UAV camera combined with target, and uses the principle of homography transformation to calculate the space coordinates of targets. The influence of pixel error on the positioning method is simulated by Monte Carlo method, and the shooting attitude range meeting the measurement requirements is determined by simulation. The results show that the positioning method of UAV camera combined with target has high accuracy, which can meet the needs of landing target positioning and measurement. [ABSTRACT FROM AUTHOR]

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[Purpose/Significance] In order to solve the core problems in the digitization process of cultural and creative works in China, taking cultural and creative works as the research object, this paper constructs a metadata hierarchy model of cultural and creative works based on their internal and external information characteristics. This model is standardized, accurately described, easy to operate and adapted to the needs of management and research, and is useful in preservation, transmission, knowledge transformation and innovation of cultural and creative works. This paper aims to provide possible solutions for the digitization process of cultural and creative works and make the maintenance of artistic information resources feasible, which is conducive to the standardized management of the data of literary and creative works and meets the needs of the research, appreciation and dissemination of literary and creative works. [Method/Process] The CDWA data standard is designed to describe artistic works, including the physical form, digital images and the relationship between time and space, characters, history and culture, etc. At the same time, it also has a unique description of elements for the preservation and management, which lays the foundation for data exchange and sharing. The completeness and comprehensiveness of information description of CDWA is quite consistent with the purpose of systematically and comprehensively describing cultural and creative works. Different from AACR2R and RDA to describe paper literature, electronic resources, music works and micro literature, the main purpose of CCO is to promote the standardization of cultural relics such as artworks and their image description. It is the first set of data content standards in the field of cultural assets. The data content standards of CCO focus on descriptive metadata and normative control of artistic works. Based on the above, this paper builds the meta framework of digital resource construction of cultural and creative works, then based on the data content standard CCO, it catalogues and describes the cultural and creative works designed by teachers and students of School of Art and Design of Wuxi Institute of Technology, China, and then promotes the practice of digital construction. [Results/Conclusions] Based on the discussion and analysis of existing metadata models of art and intangible cultural heritage, a metadata model was formed to describe cultural and creative works from three aspects: basic metadata, management metadata and associated metadata. As an indispensable part of revealing, transforming and innovating the cultural and artistic value of artistic works, this paper constructed a modular and extensible metadata standard and model which is much more suitable for cultural and creative works, and provided solutions for the digitization process of cultural and creative works. What's more, this study plays an important role in preservation and inheritance of characteristic resources. It also promoted the formation of new formats and new models of digital cultural and creative industries and provided data support for the vigorous development of China's cultural and creative industries. [ABSTRACT FROM AUTHOR]

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青海三江源地区位于中国西部,世界屋脊—青藏高原的腹地,青海省南部,平均海拔3 500～4 800 m,气候条件极为恶劣,传统的基于地面观测的野生动物调查方法耗时费力,难以长期开展。本文提出了一种基于无人机航拍影像的大型野生食草动物调查方法,使用2016年7月在三江源地区获取的无人机影像,采用面向对象的影像分析方法,对大型野生食草动物进行了自动识别和数量统计。首先,利用多尺度分割技术将影像中的动物轮廓从背景中大致分割出来; 接着,选择目标动物的典型样本生成匹配模板对分割结果进行分类检测,初步找出一些疑似目标对象; 然后深入挖掘影像中目标动物对象的光谱特征、形状特征,构建特征知识库,对检测结果进行筛选; 最后,利用目视解译结果对统计提取出来的动物数量进行了精度评价。实验表明,该方法不仅提取速度快,而且精度较高。该方法将有望显著减少甚至取代部分野生动物地面调查工作,提升野生动物调查的效率和精度。