城市周边活断层探测中遥感技术的应用

详细探查城市及其周边地区的活断层对城市防震减灾具有重要的意义.现代卫星遥感技术可在大城市活断层探测的初期工作中发挥重要的作用.选择合适的遥感数据源和恰当的遥感数字图像处理方法是非常重要的,要有针对性地制定切实可行的遥感应用工作规范和工作流程,使之能最大限度地发挥遥感资源的作用.     

模糊信息优化处理方法在陕西泾阳南塬塬边斜坡稳定性区划中的应用

结合野外调查,应用模糊信息优化处理方法对泾阳南塬塬边斜坡各评价单元进行了评价,最后根据评价结果将塬边斜坡进行了稳定性区划.     

食用菌香菇柄的几种深加工技术

文章简介了利用鄂东大别山地区的食用菌香菇下脚料(香菇柄)制作几类风味独特、脆嫩鲜香、深受人们喜爱的香菇食品的加工技术和方法。     

基于小波分析的声发射信号处理

小波分析作为一种新的信号分析处理方法，可对任意信号，信号的任一时刻、任一频段进行时频分析。将小波分析用于声发射信号处理，有助于声发射技术的发展与推广应用。     

SBR法处理高盐度海产品加工废水

采用SBR工艺对高盐度海产品加工废水进行了试验研究,结果表明,海产品加工废水中氯离子浓度不超过10000mg/L的情况下,采用具有一定耐盐度冲击负荷能力的SBR工艺是可行的;当进水中COD_(Cr)浓度为700～1000mg/L、NH4+-N浓度为80～120mg/L、[Cl-]≤8000mg/L的情况下,出水COD_(Cr)、NH3-N去除率分别为77.9%～81.2%、69.5%～76.6%,当进水中氯离子浓度继续增加,系统受盐度的影响加剧,处理效果变差。     

UASB-生物接触氧化工艺处理鸡爪加工废水实例

鸡爪加工废水含油脂、悬浮物较高,是一种较难处理的有机废水。采用隔油-厌氧(UASB)-生物接触氧化-絮凝联合处理工艺处理鸡爪加工废水,结果表明:工艺是可行的,处理后出水可达标排放。     

气候环境试验设备温度参数数据处理方法的分析与探讨

不同的温度参数数据处理方法有不同的计算结果,本文针对检测与评定气候环境试验设备的技术性能中存在的问题,分析了三个标准(GB 11158-89、GB/T 5170.1-1995、JTM K 05-1991)的温度参数数据处理方法,比对了二组实际检测数据的计算结果,说明"绝对极值法"科学准确、简捷实用.     

A Special Vegetation Index for the Weed Detection in Sensor Based Precision Agriculture

Many technologies in precision agriculture (PA) require image analysis and image- processing with weed and background differentiations. The detection of weeds on mulched cropland is one important image-processing task for sensor based precision herbicide applications. The article introduces a special vegetation index, the Difference Index with Red Threshold (DIRT), for the weed detection on mulched croplands. Experimental investigations in weed detection on mulched areas point out that the DIRT performs better than the Normalized Difference Vegetation Index (NDVI). The result of the evaluation with four different decision criteria indicate, that the new DIRT gives the highest reliability in weed/background differentiation on mulched areas. While using the same spectral bands (infrared and red) as the NDVI, the new DIRT is more suitable for weed detection than the other vegetation indices and requires only a small amount of additional calculation power. The new vegetation index DIRT was tested on mulched areas during automatic ratings with a special weed camera system. The test results compare the new DIRT and three other decision criteria: the difference between infrared and red intensity (Diff), the soil-adjusted quotient between infrared and red intensity (Quotient) and the NDVI. The decision criteria were compared with the definition of a worse case decision quality parameter Q, suitable for mulched croplands. Although this new index DIRT needs further testing, the index seems to be a good decision criterion for the weed detection on mulched areas and should also be useful for other image processing applications in precision agriculture. The weed detection hardware and the PC program for the weed image processing were developed with funds from the German Federal Ministry of Education and Research (BMBF).     

Precision Measurements from Very-Large Scale Aerial Digital Imagery

Managers need measurements and resource managers need the length/width of a variety of items including that of animals, logs, streams, plant canopies, man-made objects, riparian habitat, vegetation patches and other things important in resource monitoring and land inspection. These types of measurements can now be easily and accurately obtained from very large scale aerial (VLSA) imagery having spatial resolutions as fine as 1 millimeter per pixel by using the three new software programs described here. VLSA images have small fields of view and are used for intermittent sampling across extensive landscapes. Pixel-coverage among images is influenced by small changes in airplane altitude above ground level (AGL) and orientation relative to the ground, as well as by changes in topography. These factors affect the object-to-camera distance used for image-resolution calculations. ‘ImageMeasurement’ offers a user-friendly interface for accounting for pixel-coverage variation among images by utilizing a database. ‘LaserLOG’ records and displays airplane altitude AGL measured from a high frequency laser rangefinder, and displays the vertical velocity. ‘Merge’ sorts through large amounts of data generated by LaserLOG and matches precise airplane altitudes with camera trigger times for input to the ImageMeasurement database. We discuss application of these tools, including error estimates. We found measurements from aerial images (collection resolution: 5–26 mm/pixel as projected on the ground) using ImageMeasurement, LaserLOG, and Merge, were accurate to centimeters with an error less than 10%. We recommend these software packages as a means for expanding the utility of aerial image data.