Does the High School Geography Experience Influence Enrollment in University Geography Courses?

The literature suggests that owing to profound difficulties with high school geography curricula, teachers play a vital role in stimulating student interest and in providing a platform for continuation in the study of geography at university. Yet, with little empirical evidence offered in support, it is unclear why students select geography at university and if their high school experience informs their decision. Through a survey of students enrolled in an introductory geography course at an Ontario university, this research questions the relationship between students' high school experience and their enrollment in the course and ponders the implications for the health of the discipline.     

A systematic comparison of different object-based classification techniques using high spatial resolution imagery in agricultural environments

Geographic Object-Based Image Analysis (GEOBIA) is becoming more prevalent in remote sensing classification, especially for high-resolution imagery. Many supervised classification approaches are applied to objects rather than pixels, and several studies have been conducted to evaluate the performance of such supervised classification techniques in GEOBIA. However, these studies did not systematically investigate all relevant factors affecting the classification (segmentation scale, training set size, feature selection and mixed objects). In this study, statistical methods and visual inspection were used to compare these factors systematically in two agricultural case studies in China. The results indicate that Random Forest (RF) and Support Vector Machines (SVM) are highly suitable for GEOBIA classifications in agricultural areas and confirm the expected general tendency, namely that the overall accuracies decline with increasing segmentation scale. All other investigated methods except for RF and SVM are more prone to obtain a lower accuracy due to the broken objects at fine scales. In contrast to some previous studies, the RF classifiers yielded the best results and the k-nearest neighbor classifier were the worst results, in most cases. Likewise, the RF and Decision Tree classifiers are the most robust with or without feature selection. The results of training sample analyses indicated that the RF and adaboost. M1 possess a superior generalization capability, except when dealing with small training sample sizes. Furthermore, the classification accuracies were directly related to the homogeneity/heterogeneity of the segmented objects for all classifiers. Finally, it was suggested that RF should be considered in most cases for agricultural mapping.     

基于邻域投票和Harris-SIFT特征的低空遥感影像匹配

文中提出一种基于邻域投票和改进的Harris-SIFT特征的低空遥感影像匹配方法。首先用NMS算法提取多尺度的Harris-SIFT特征并对其进行方向描述,然后根据最近邻与次近邻特征点距离之比确定初始匹配点对,最后通过近邻域选择投票的方法剔除候选点中的虚假匹配点,进而实现低空遥感影像的配准。实验表明该算法在获得充足匹配点且保证匹配精度的同时,明显提高影像匹配的效率。     

混合智能优化算法的SAR图像特征选择

为提高SAR图像自动目标识别的准确率及实时性,提出了一种基于混合智能优化的SAR图像特征选择算法。首先,采用分形特征对SAR图像进行增强,基于分割后的图像提出了一种基于图像矩的方位角估计方法。然后基于未校正和校正后的图像分别提取Zernike矩、Gabor小波系数和灰度共生矩阵构成候选特征集合,使用遗传算法结合二值粒子群的混合优化算法实现SAR图像特征选择。最后,采用MSTAR数据库验证本文算法的有效性。实验结果表明,优化后的特征集合具有一定泛化能力,一方面提高了SAR目标识别的准确率,另一方面减小了SAR图像目标识别的时间。     

BDS载波相位历元间差分测速方法研究

针对载波相位历元间差分测速前后历元选取不同广播星历计算时,卫星钟差跳变导致测速结果错误突变的问题,提出前后历元仍采用相同的广播星历来计算卫星位置和钟差的改进方法。用北斗实测数据验证了方法的正确性,并评估了北斗测速的精度。实验结果表明:静态条件下,北斗载波相位历元间差分测速精度可达mm/s级;动态条件下,采样率1Hz,测速结果与高精度组合导航测速结果符合精度为cm/s级;并且测速精度与物体的动态条件(如加速度)有一定的相关性。     

青岛市垃圾卫生填埋场选址问题研究

垃圾卫生填埋法将是青岛市今后若干年内垃圾处理的主要方法，结合青岛市城市发展的规划思路，提出在保护环境，尤其是海洋环境的基础上，应寻找内陆场地进行垃圾卫生填埋。经遴选，小涧一带最有前景，经论证，认为小涧一带从地形地貌、地表水发育，场地取土条件，环境水文地质条件、构造条件及经济条件等各方面均满足选址要求     

Ontogenetic Shifts in Resource Use and Shoaling Tendency Related to Body Size in Red Sea Goatfish (Parupeneus forsskali, Mullidae)

Abstract. Red Sea goatfish show marked behavioral differences related to body size in food searching, substrate use, and shoaling tendency. While smaller fish mainly use their barbels to search for food hidden in the upper sediment layers or in crevices of corals, the largest fish frequently burrow with their mouths in deeper layers of the sediment. The conspecific shoaling tendency decreases with increasing size. Only smaller-sized fish are found in mixed-species shoals. The data are discussed with regard to the relations between ontogenetic changes in body size, resource utilization, and socialization patterns.