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991.
To retrieve the object region efficaciously from massive remote sensing image database, a model for content-based retrieval of remote sensing image is given according to the characters of remote sensing image application firstly, and then the algorithm adopted for feature extraction and multidimensional indexing, and relevance feedback by this model are analyzed in detail. Finally, the contents intending to be researched about this model are proposed. 相似文献
992.
Recent technical advances in remote sensing data capture and spatial resolution lead to a widening gap between increasing data availability on the one hand and insufficient methodology for semi-automated image data processing and interpretation on the other hand. At the interface of GIS and remote sensing, object-based image analysis methodologies are one possible approach to close this gap. With this, methods from either side are integrated to use both the capabilities of information extraction from image data and the power to perform spatial analysis on derived polygon data. However, dealing with image objects from various sources and in different scales implies combining data with inconsistent boundaries. A landscape interpretation support tool (LIST) is introduced which seeks to investigate and quantify spatial relationships among image objects stemming from different sources by using the concept of spatial coincidence. Moreover, considering different categories of object fate, LIST enables a change categorization for each polygon of a time series of classifications. The application of LIST is illustrated by two case-studies, using Landsat TM and ETM as well as CIR aerial photographs: the first showing how the tool is used to perform object quantification and change analysis; the latter demonstrating how superior aggregation capabilities of the human brain can be combined with the fine spatial segmentation and classification. Possible fields of application are identified and limitations of the approach are discussed. 相似文献
993.
To have sustainable management and proper decision-making, timely acquisition and analysis of surface features are necessary. Traditional pixel-based analysis is the popular way to extract different categories, but it is not comparable by the achievements that can be achieved through the object-based method that uses the additional characteristics of features in the process of classification. In this paper, three types of classification were used to classify SPOT 5 satellite image in mapping land cover; Support vector machine (SVM) pixel-based, SVM object-based and Decision Tree (DT) pixel-based classification. Normalised Difference Vegetation Index and the brightness value of two infrared bands (NIR and SWIR) were used in manually developed DT classification. The classification of the SVM (pixel based) was generated using the selected groups of pixels that represent the selected features. In addition, the SVM (object based) was implemented by using radial-based function kernel. The classified features were oil palm, rubber, urban area, soil, water and other vegetation. The study found that the overall classification of the DT was the lowest at 69.87% while those of SVM (pixel based) and SVM (object based) were 76.67 and 81.25%, respectively. 相似文献
994.
《自然地理学》2013,34(4):319-336
Visual interpretation of aerial photography suggests that certain geomorphological similarities exist between the hummocky terrain of central Alberta, Canada, and the Rogen terrain of Nunavut, Canada. This study statistically compares the two landform types based on measures of depression shapes and ridge orientations. Comparison of depression shapes indicates that two of three sample areas chosen from the hummocky terrain study area are statistically similar to those of the Rogen terrain study area. Analysis of ridge orientations indicates the ridge crests from two of three hummocky terrain sample areas, and ridge crests from within the Rogen terrain study site all exhibit a preferred trend. Variability in the process of formation may explain why only particular areas throughout the hummocky terrain exhibit patterns similar to the Rogen terrain and others do not. Statistical similarities in two-dimensional form between the hummocky terrain of central Alberta and the Rogen terrain of the Northwest Territories however, suggest that these landforms may have a common or similar origin. 相似文献
995.
《The Professional geographer》2013,65(3):263-264
Promotion of nonacademic geography is a logical response to curtailment of opportunity for new teaching careers. Yet this necessary redirection of effort must be accompanied by renewed dedication to education and especially to nonprofessional undergraduate education. The case for geography in the liberal arts curriculum may well be a strong one, but questions about what we can offer need to be raised more frequently among ourselves if we are to respond effectively when such questions are asked by outsiders. 相似文献
996.
997.
运用矿液致裂理论与多种测试技术,详细研究了桂北苗儿山矿田花岗岩型脉状铀矿床矿脉的形态与内部结构,获知成矿时矿液的压力大于围岩的静压力,矿脉由矿液压裂作用形成。在此基础上讨论了矿液致裂对花岗岩型脉状铀矿床多期成矿的控制。 相似文献
998.
中国铁矿资源现状与铁矿实物地质资料筛选 总被引:6,自引:0,他引:6
依据我国铁矿资源的类型、成矿区(带)和赋存特点,概述了当前我国铁资源的状况,提出了铁矿资源进行实物地质资料筛选要考虑的因素。结果表明:中国铁矿床类型齐全,以沉积-变质型为主,岩浆型、接触交代-热液型次之;我国铁矿床成矿条件复杂,大型、超大型矿床少,贫矿多、富矿少,且伴(共)生有益组分多,但呈现相对集中分布的特点,主要包括鞍山-本溪、攀西-滇中、冀东-密云、长江中下游、鄂西-湘西北、邯郸-邢台等6个成矿区(带),新疆地区铁矿资源潜力巨大,是未来找矿的重点;铁矿资源实物地质资料筛选应考虑铁矿床成矿规模、成因类型、成矿时代、成矿区(带)等因素,兼顾具有典型、潜力巨大的铁矿床作为筛选对象。 相似文献
999.
为实现甘肃省经济社会转型跨越发展,甘肃省政府下发了关于加强地质找矿工作的意见,出台了加强找矿3年突破行动方案。作为方案起草者,文章从地质找矿面临的形势和要求、甘肃矿产资源潜力分析等方面,就加强找矿3年突破行动计划作进一步解读,明确总体目标和任务,了解方案的运作机制,对国有地勘单位提出了推进地质找矿工作的新要求,即"大规模大作为、高标准高质量、快节奏快发展",对全省资源领域、矿产资源勘查、开发工作具有指导意义。 相似文献
1000.