搜索结果: 1-15 共查到“工学 Land”相关记录590条 . 查询时间(0.102 秒)
Nuclear regulator Rostekhnadzor has granted a licence to build the country's first land-based small modular reactor (SMR), in the Republic of Sakha (also known as Yakutia) in Russia's Arctic north.
Researchers create the first artificial vision system for both land and water（图）
人工视觉系统 提琴蟹眼 全景视野 合成视觉系统
2023/6/20
Giving our hardware sight has empowered a host of applications in self-driving cars, object detection, and crop monitoring. But unlike animals, synthetic vision systems can’t simply evolve under natur...
中国地质大学科学技术发展院陈伟涛 等，计算机学院. Remote Sensing（2019）, Fine Land Cover Classification in an Open Pit Mining Area Using Optimized Support Vector Machine and WorldView-3 Imagery
地质环境；遥感；智能；解译；研究领域
2021/10/15
近日，中国地质大学计算机学院陈伟涛副教授团队再次在地质环境遥感智能解译研究领域取得重要进展。相关研究成果发表在国际著名期刊《Remote Sensing》（2018年影响因子为4.118）。论文第一作者为陈伟涛副教授，通讯作者为李显巨副教授。
中国科学院地理科学与资源研究所史文娇等关于“高标准农田综合效益评价及其空间预测”的科研成果在农林科学一区TOP期刊《Land Degradation & Development》作为封面文章发表（图）
史文娇 高标准 农田综合效益评价 空间预测 科研成果
2020/8/24
建设高标准农田是巩固和提高粮食生产能力、保障国家粮食安全的关键举措。近年来，我国大力推进高标准农田建设，取得了明显成效。因此，开展高标准农田综合效益评价及其空间尺度预测研究，能够为我国未来高标准农田建设布局、优化管理及战略决策提供科学依据和支撑。近期，史文娇等以我国重要的粮食主产区之一黄淮海区为研究对象，构建了包含经济、社会、生态效益的综合效益评价指标体系及综合评价模型，对黄淮海区高标准农田抽样项...
中国科学院新疆生态与地理研究所英文期刊Journal of Arid Land 2019年SCI影响因子显著提升
中国科学院新疆生态与地理研究所 英文期刊 Journal of Arid Land 2019年 SCI影响因子
2020/7/30
2020年6月29日，科睿唯安发布了2019年SCI期刊引证报告 (Journal Citation Reports, JCR)，中国科学院新疆生态与地理研究所主办的英文期刊——Journal of Arid Land (JAL) 2019年影响因子创历史新高，达到1.899，较去年提升40%。该期刊位居环境科学学科（Environmental Sciences）Q3区，是新疆目前唯一的SCI期刊...
河海大学水文水资源学院张珂研究团队在Land Degradation & Development 发表论文
河海大学水文水资源学院 张珂 Land Degradation & Development 发表论文 干旱风险
2019/1/8
2018年12月，我院张珂教授团队在国际期刊《Land Degradation & Development》上发表了题为“Analysis of Drought and Vulnerability in the North Darfur Region of Sudan”的论文。《Land Degradation & Development》是农林科学和环境科学领域的顶级刊物，其2018年影响因子达...
A COMPARATIVE STUDY OF LAND SURFACE TEMPERATURE WITH DIFFERENT INDICES ON HETEROGENEOUS LAND COVER USING LANDSAT 8 DATA
LST Landsat 8 NDBI NDSI NDVI NDWI Land Cover
2019/2/27
The temperature rise in urban areas has become a major environmental concern. Hence, the study of Land surface temperature (LST) in urban areas is important to understand the behaviour of different la...
MODEL FOR LAND COVER ESTIMATION USING UNSUPERVISED MACHINE LEARNING ON GOOGLE MAPS COLOR IMAGES
Unsupervised learning algorithms CORINE nomenclature Google Static Maps API k-means clustering
2019/2/27
Remote sensing data and satellite images are broadly used for land cover information. There are so many challenges to classify pixels on the basis of features and characteristics. Generally it is pixe...
IDENTIFICATION OF LOW ACCURACY REGIONS IN LAND COVER MAPS USING UNCERTAINTY MEASURES AND CLASSIFICATION CONFIDENCE
Multispectral images Classification Uncertainty Confidence Accuracy Spatial variation
2018/11/9
The aim of this article is to assess if the data provided by soft classifiers and uncertainty measures can be used to identify regions with different levels of accuracy in a classified image. To this ...
OPEN SOURCE SOFTWARE AND OPEN EDUCATIONAL MATERIAL ON LAND COVER MAPS INTERCOMPARISON AND VALIDATION
Capacity Building Education Land Cover Open Access Open Source Validation
2018/11/9
Land Cover (LC) maps represent key resources to understand, model and address many global and local dynamics affecting our planet. They are usually derived from the classification of satellite imagery...
LAND USE CLASSIFICATION FROM COMBINED USE OF REMOTE SENSING AND SOCIAL SENSING DATA
Human Behavior Social Sensing Remote Sensing Decision Tree Geographic Information System Accuracy Assessment
2018/11/9
Large amounts of data can be sensed and analyzed to discover patterns of human behavior in cities for the benefit of urban authorities and citizens, especially in the areas of traffic forecasting, urb...
THE APPLICATION OF CHINESE HIGH-SPATIAL-RESOLUTION REMOTE SENSING SATELLITE IMAGE IN LAND LAW ENFORCEMENT INFORMATION EXTRACTION
land use high resolution batch process geoprocessing model information extraction mapping
2018/5/15
Chinese high -resolution (HR) remote sensing satellites have made huge leap in the past decade. Commercial satellite datasets, such as GF-1, GF-2 and ZY-3 images, the panchromatic images (PAN) resolut...
DYNAMIC MONITORING OF LAND COVER IN DONGTING LAKE AREA BETWEEN 1995–2015 WITH LANDSAT IMAGERY
Dongting Lake, Land Cover, Remote Sensing, Classification, Transfer Matrix, Landscape Pattern
2018/5/15
In this paper, the Landsat imagery of 1995, 2006 and 2015 is used to monitor land cover change in Dongting Lake area. Our study mainly focuses on five types of land cover: water body, wetland, built-u...
ANALYSIS OF LAND SUBSIDENCE MONITORING IN MINING AREA WITH TIME-SERIES INSAR TECHNOLOGY
Time-series InSAR Land Subsidence ALOS PALSAR RADARSAT-2
2018/5/15
Time-series InSAR technology has become a popular land subsidence monitoring method in recent years, because of its advantages such as high accuracy, wide area, low expenditure, intensive monitoring p...
OBJECT-BASED RANDOM FOREST CLASSIFICATION OF LAND COVER FROM REMOTELY SENSED IMAGERY FOR INDUSTRIAL AND MINING RECLAMATION
Reclamation Area Classification of Land Use Random Forest Grid-search Object-based Multi-resolution Segmentation Multi-feature Variables
2018/5/11
The RF method based on grid-search parameter optimization could achieve a classification accuracy of 88.16 % in the classification of images with multiple feature variables. This classification ...