The effects of the North Anatolian Fault on the geomorphology in the Eastern Marmara Region,Northwestern Turkey

North-western Anatolia has been actively deformed since Pliocene by the right-lateral North Anatolian Fault (NAF). This transform fault, which has a transtensional character in its western end due to effects from the Aegean extensional system, is a major control on the regional geomorphologic evolution. This study applied some geomorphic analyses, such as stream longitudinal profiles, stream length-gradient index, ratio of valley floor width and valley height, mountain front sinuosity, hypsometry and asymmetry factor analyses, to an area just east of the Sea of Marmara in order to understand the tectonic effects on the area’s geomorphological evolution. The active and fastest northern branch of the NAF lies within a topographic depression connecting Sea of Marmara in the east to the Adapazar? Basin in the west. This depression filled with early Pleistocene and younger sediment after a series of pull-apart basins opened along the NAF. North of this depression lies the Kocaeli Peneplain, whose southern edge the NAF uplifted. Meandering streams on the central peneplain were incised possibly due to baselevel changes in the Black Sea. South of the depression, an E-trending mountainous area has a rugged morphology. Based on geomorphic analyses, uplifted Pliocene sediment, marine terraces, and recent earthquake activity, this area between northern and southern branches of the NAF is actively uplifting. The geomorphic indices used in this study are sensitive to vertical movements rather than lateral ones. The bedrock lithology that played an important role on the area’s geomorphologic evolution also affects the geomorphic indices used here.     

西秦岭上白垩统红层空间分布及其对青藏高原东北缘隆升的地质约束

通过对西秦岭上白垩统红层地层基本沉积特征的研究和空间高程分布的定量化分析,讨论了西秦岭晚白垩世时期可能的构造地貌状态及西秦岭新生代以来地壳隆升的空间变化规律。取得如下认识:1根据西秦岭上白垩统底部洪积-冲积砾岩层之上普遍存在一套厚度不等的具有风成砂岩特征的红色中细粒砂岩和上部出现以泥岩、泥质粉砂岩为主的湖相沉积,结合现今多分布在不同水系分水岭之上,以及西秦岭中部宕昌-岷县-临潭断裂带两侧上白垩统红层地层顶面高程和底部角度不整合面高程没有显著差异分析,认为西秦岭无论在晚白垩之前经历了何种构造过程,晚白垩世具有整体稳定的泛沙漠-湖盆的古构造地貌状态,且断裂带不具备控制上白垩统沉积的构造边界性质;2现今离散型分布在西秦岭的上白垩统沉积地层反映的原型盆地不是孤立的、受区域断裂控制的山间盆地,而是统一的泛沙漠-内陆湖盆,现今的离散型分布是新生代以来地壳不均匀隆升和侵蚀的结果;3西秦岭上白垩统底部的角度不整合面产状,虽然由于后期构造变动呈非完全水平状态,但总体产状平缓。从大区域尺度分析,可以近似看做原始近水平的古地貌面。通过对该角度不整合面高程信息提取和模拟分析,结果表明,其高程分布具有从南西到北东、从北西到南东逐渐降低,穿越区域断裂带没有显著梯度变化,指示了西秦岭新生代以来的隆升具有整体性和隆升幅度呈连续梯度变化的特征。这可能指示了西秦岭新生代以来的地壳隆升机制主要不是上地壳挤压逆冲缩短,而是在印度板块-欧亚板块碰撞汇聚的动力学背景下,下地壳或上地幔自西南向北东连续流变逐渐增厚,造成了青藏高原东北缘呈向北东突出的弧形扩展隆升。     

2-D delineation of individual citrus trees from UAV-based dense photogrammetric surface models

One of the challenges of remote sensing and computer vision lies in the three-dimensional (3-D) reconstruction of individual trees by using automated methods through very high-resolution (VHR) data sets. However, a successful and complete 3-D reconstruction relies on precise delineation of the trees in two dimensions. In this paper, we present an original approach to detect and delineate citrus trees using unmanned aerial vehicles based on photogrammetric digital surface models (DSMs). The symmetry of the citrus trees in a DSM is handled by an orientation-based radial symmetry transform which is computed in a unique way. Next, we propose an efficient strategy to accurately build influence regions of each tree, and then we delineate individual citrus trees through active contours by taking into account the influence region of each canopy. We also present two efficient strategies to filter out erroneously detected canopy regions without having any height thresholds. Experiments are carried out on eight test DSMs composed of different types of citrus orchards with varying densities and canopy sizes. Extensive comparisons to the state-of-the-art approaches reveal that our proposed approach provides superior detection and delineation performances through supporting a nice balance between precision and recall measures.     

Geometric-constrained multi-view image matching method based on semi-global optimization

Targeting at a reliable image matching of multiple remote sensing images for the generation of digital surface models, this paper presents a geometric-constrained multi-view image matching method, based on an energy minimization framework. By employing a geometrical constraint, the cost value of the energy function was calculated from multiple images, and the cost value was aggregated in an image space using a semi-global optimization approach. A homography transform parameter calculation method is proposed for fast calculation of projection pixel on each image when calculating cost values. It is based on the known interior orientation parameters, exterior orientation parameters, and a given elevation value. For an efficient and reliable processing of multiple remote sensing images, the proposed matching method was performed via a coarse-to-fine strategy through image pyramid. Three sets of airborne remote sensing images were used to evaluate the performance of the proposed method. Results reveal that the multi-view image matching can improve matching reliability. Moreover, the experimental results show that the proposed method performs better than traditional methods.     

Novel fusion approach on automatic object extraction from spatial data: case study Worldview-2 and TOPO5000

The automatic extraction of information content from remotely sensed data is always challenging. We suggest a novel fusion approach to improve the extraction of this information from mono-satellite images. A Worldview-2 (WV-2) pan-sharpened image and a 1/5000-scaled topographic vector map (TOPO5000) were used as the sample data. Firstly, the buildings and roads were manually extracted from WV-2 to point out the maximum extractable information content. Subsequently, object-based automatic extractions were performed. After achieving two-dimensional results, a normalized digital surface model (nDSM) was generated from the underlying digital aerial photos of TOPO5000, and the automatic extraction was repeated by fusion with the nDSM to include individual object heights as an additional band for classification. The contribution was tested by precision, completeness and overall quality. Novel fusion technique increased the success of automatic extraction by 7% for the number of buildings and by 23% for the length of roads.     

基于脑电信号评价情绪状态及听觉激励对改善情绪的研究

如何从脑活动数据中发现具有生物学意义的知识及规律,正成为当今神经信息学理论与实践研究的热点与难点.基于脑电的情绪识别和情绪及其脑机制的关联研究已经成为神经工程和生物医学工程领域的热门课题.本研究基于脑电信号评价情绪状态,尝试借助脑电耳机来监测"毫无头绪"的脑电波,重点开展了听觉激励对改善焦虑情绪状态的实验研究.借助特定中国古风纯音乐产生听觉信号激励,激发出被试者平静放松的情绪状态,从而改善焦虑,发现音乐和情绪之间可能存在的关系.将来在BCI技术研究的基础之上,情绪识别可以进一步满足患有特定疾病（ALS症、脑瘫、脑干中风、脊髓损伤等）的患者人群的某些更高级的需求,即通过脑电分析出其对事物的喜好度,比如音乐的选择,从而设计出更加友善和智能的BCI系统,在医疗康复领域具有很好的应用前景.     

数字地震台网文件自动传输系统的设计

为完善数字地震台网数据服务处理功能,使用DOS脚本及汇编语言,设计开发了网络文件自动传输系统--AFTFRSD Version 1.0,每天完成前台机地震实时数据自动传输到后台机.本系统可应用于各省数字地震台网中心.     

广西"十五"数字测震台网信道建设与系统集成

通过实施广西"十五"数字测震台网建设项目,在保证地震速报能力的前提下,根据广西区域数字测震台的布局,合理选择台站不同数据传输模式和台网集成方案,以取得系统的优良性价比.     

用H/V谱比法计算云南区域数字地震台站的场地响应

用H/V谱比法,计算给出了云南区域数字地震台网23个子台S波随频率变化的台站场地响应特征。结果表明:在1～10Hz频段内,23个子台S波的场地响应相对较平坦,在1.41～2.91之间变化,平均2.08;在大于10Hz的高频段,部分台站的场地响应有较明显的放大。     

福建省数字化钻孔体应变观测资料质量初步分析

对整个福建省的钻孔体应变仪器运行状况进行了综合评价,并对4个台站的观测资料质量进行了分析,用M2波潮汐因子及其相对中误差等来衡量其总体精度和稳定性,还分析了钻孔应变观测的干扰机理和特征,希望能够正确地认识以及排除观测资料中的非异常信息,提高观测精度,为地震分析预报提供可靠的前兆资料。