追根溯源探析地域文化的时代传承之路——文山“壮乡苗岭”主题居住区概念规划

随着国内住宅地产的发展愈加成熟,人们对居住空间的关注不仅仅停留在理性需求层面,更多情感诉求的满足成为居住区规划的关键,“主题居住社区”的概念也随之应运而生,该文通过对“壮乡苗岭”大型居住区规划设计及思考过程的回顾,提出并探讨了基于地域文化进行主题社区规划设计的思路,这既是对使用者精神需求的关注,也是对地域文化的时代传承.     

SAM权重法在端元提取中的应用

高光谱遥感的出现使得在宽波段遥感中不可探测的物质能被探测。获得的高光谱数据大都具有数据冗余度高、信噪比低等特点。文章通过idl编程实现高光谱数据的特征提取并利用其做了端元提取流程与光谱解混,及权重法SAM端元提取、混合光谱分解模型及实现。利用SAM权重法能够完成端元提取并最终得到的解混结果。     

沙漠地区应用PCM进行管道检测的一些建议

常用的有效防腐蚀方法是用外防护层隔绝环境对钢管表面的直接接触和伤害,因此,评价防护层的在役状态对保证安全生产和延长埋地钢质管道的使用寿命至关重要。管中多频电流检测法是目前金属管道防腐层质量检测的常见方法,通过分析PCM（管中多频电流检测仪）的工作原理及组成结构,总结应用PCM在沙漠地区进行检测遇到的相关问题,提出了一系列沙漠地区应用PCM进行管道检测的相关建议。     

利用信息复合方法编制遥感考古专题影像图

我国是一个文明古国，又是一个文化起源多源流的国家，文化遗址几乎遍地都是，为了进行文化遗址调查和加强文物保护，必须进行考古方法新技术的研究应用．本文根据国家自然科学基金项目“基于信息分析的遥感图像光化学处理系统的研究”的内容，以编制成功的遥感考古专题影像图为例，进一步说明光化学信息复合方法，尤其是遥感图像资料与非遥感图像资料的复合方法，是研究专题信息的更新与补充以及综合分析的有效手段，也证明了这种信息复合方法在遥感考古领域具有很大的应用潜力。     

利用TM图像进行干旱荒漠带牧区土地资源调查

选用TM卫片作为调查基础资料,结合地形图和局部地区大比例尺航片,完成了甘肃河西地域三个牧业县的土地利用现状调查,为遥感技术在干旱荒漠地带牧区进行土地资源调查找出了效果好、经济的方法。     

Improved wetland remote sensing in Yellowstone National Park using classification trees to combine TM imagery and ancillary environmental data

The U.S. Fish and Wildlife Service uses the term palustrine wetland to describe vegetated wetlands traditionally identified as marsh, bog, fen, swamp, or wet meadow. Landsat TM imagery was combined with image texture and ancillary environmental data to model probabilities of palustrine wetland occurrence in Yellowstone National Park using classification trees. Model training and test locations were identified from National Wetlands Inventory maps, and classification trees were built for seven years spanning a range of annual precipitation. At a coarse level, palustrine wetland was separated from upland. At a finer level, five palustrine wetland types were discriminated: aquatic bed (PAB), emergent (PEM), forested (PFO), scrub-shrub (PSS), and unconsolidated shore (PUS). TM-derived variables alone were relatively accurate at separating wetland from upland, but model error rates dropped incrementally as image texture, DEM-derived terrain variables, and other ancillary GIS layers were added. For classification trees making use of all available predictors, average overall test error rates were 7.8% for palustrine wetland/upland models and 17.0% for palustrine wetland type models, with consistent accuracies across years. However, models were prone to wetland over-prediction. While the predominant PEM class was classified with omission and commission error rates less than 14%, we had difficulty identifying the PAB and PSS classes. Ancillary vegetation information greatly improved PSS classification and moderately improved PFO discrimination. Association with geothermal areas distinguished PUS wetlands. Wetland over-prediction was exacerbated by class imbalance in likely combination with spatial and spectral limitations of the TM sensor. Wetland probability surfaces may be more informative than hard classification, and appear to respond to climate-driven wetland variability. The developed method is portable, relatively easy to implement, and should be applicable in other settings and over larger extents.     

Linear mixture model applied to Amazonian vegetation classification

Many research projects require accurate delineation of different secondary succession (SS) stages over large regions/subregions of the Amazon basin. However, the complexity of vegetation stand structure, abundant vegetation species, and the smooth transition between different SS stages make vegetation classification difficult when using traditional approaches such as the maximum likelihood classifier (MLC). Most of the time, classification distinguishes only between forest/non-forest. It has been difficult to accurately distinguish stages of SS. In this paper, a linear mixture model (LMM) approach is applied to classify successional and mature forests using Thematic Mapper (TM) imagery in the Rondônia region of the Brazilian Amazon. Three endmembers (i.e., shade, soil, and green vegetation or GV) were identified based on the image itself and a constrained least-squares solution was used to unmix the image. This study indicates that the LMM approach is a promising method for distinguishing successional and mature forests in the Amazon basin using TM data. It improved vegetation classification accuracy over that of the MLC. Initial, intermediate, and advanced successional and mature forests were classified with overall accuracy of 78.2% using a threshold method on the ratio of shade to GV fractions, a 7.4% increase over the MLC. The GV and shade fractions are sensitive to the change of vegetation stand structures and better capture biophysical structure information.     

CLINICAL DIAGNOSIS AND OBJECTIVE TAT SCORING.

"In a previous paper the present writer has suggested the concept of personality orientation as a label for the psychological relatedness of person and environment… This study attempts to use personality orientation as a frame of reference in designing TAT scoring categories." (PsycINFO Database Record (c) 2010 APA, all rights reserved)     

Ambiguity and verbal fluency in the TAT.

15 TAT cards, divided into low-, medium-. and high-ambiguity groups, were administered to 30 female nursing students. Stimulus ambiguity, defined in terms of variability of themes evoked by a given card, was found to be associated with hesitant and disrupted speech. These findings are explained in terms of the mediating role of uncertainty on speech. An adaptation effect was noted. The later, as opposed to the earlier stories, are associated with a longer reaction time, but fewer "ah's," less silence, and a quicker articulation rate. Finally, significant differences are noted between Ss' verbal fluency indexes, based on all 15 cards and thus independent of stimulus ambiguity, and verbal fluency indexes obtained in an interview situation. These differences are discussed in terms of monological vs. dialogical speech. (21 ref.) (PsycINFO Database Record (c) 2010 APA, all rights reserved)