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实际复杂约束条件下多星区域覆盖优化算法
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作者 章登义 王争 蔡波 《计算机应用与软件》 2017年第12期1-7,20,共8页
利用多星协同对大面积区域成像侦测,要求在最短的时间内完成对给定目标区域的完全覆盖,得到卫星每次过境最优侧视观测方案。现有覆盖算法具低效耗时技术瓶颈,有空间覆盖率及时效性局限。充分利用卫星每次过境观测机会,综合考虑相机分辨... 利用多星协同对大面积区域成像侦测,要求在最短的时间内完成对给定目标区域的完全覆盖,得到卫星每次过境最优侧视观测方案。现有覆盖算法具低效耗时技术瓶颈,有空间覆盖率及时效性局限。充分利用卫星每次过境观测机会,综合考虑相机分辨率、太阳高度角、地面精度等约束条件,依据不同卫星侧摆能力、传感器可视性能以及卫星轨道参数特征,对区域目标进行量化覆盖分析,建立网格划分模型,提出基于一次覆盖策略的覆盖优化算法。该算法能适应实际复杂约束条件,在实际问题规模下,具有良好的效率,能满足工业精度要求。在仿真应用中检验了该算法的有效性和适应性。 展开更多
关键词 成像卫 区域目标 网格划分 多星覆盖
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Spatiotemporal Dynamics of Forest and Mountain Formations in Auras Area, Algeria
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作者 Yassine Beghami Mahdi Kalla +1 位作者 Michel Thinon Hassen Benmessaoud 《Journal of Life Sciences》 2012年第6期663-669,共7页
Contrary to the countries of northern coast, the forest formations on Southern and East coast of the Mediterranean are in regression. With the combined action of the ax, fire and pasture, these ecosystems are subjecte... Contrary to the countries of northern coast, the forest formations on Southern and East coast of the Mediterranean are in regression. With the combined action of the ax, fire and pasture, these ecosystems are subjected to a pressure of permanent degradation. Indeed, the degradation of the forest ecosystems represents one of the most important causes of reduction and erosion of the biodiversity in the world. The massif of Aur6s is located in the North-East of Algeria. The analysis of the spatiotemporal dynamics of this vulnerable vegetation is not approached yet. This study proposes a focus on the analysis of the dynamics of this vegetation and to study the factors of its degradation. For that, a methodological approach of diachronic follow-up between two dates was adopted by using any kind of old information sources (archives, aerial photographs, topographic maps) and recent (Images satellite of American Landsat and data of land). The results reveal a degradation of vegetable cover thus expressing a very thorough reduction of the formations forest replaced by herbaceous formations very sensitive and threatened by the overgrazing. 展开更多
关键词 Aures diachronic analysis cedar forest formations remote sensing
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