batch_tif_outpic

1997年landsat tm全波段遥感数据part01，部分参数： GROUP = L1_METADATA_FILE GROUP = METADATA_FILE_INFO ORIGIN = "Image courtesy of the U.S. Geological Survey" REQUEST_ID = "0601411252739_00046" LANDSAT_SCENE_ID = "LT51230331997280HAJ00" FILE_DATE = 2014-11-28T07:45:51Z STATION_ID = "HAJ" PROCESSING_SOFTWARE_VERSION = "LPGS_12.5.0" DATA_CATEGORY = "NOMINAL" END_GROUP = METADATA_FILE_INFO GROUP = PRODUCT_METADATA DATA_TYPE = "L1G" DATA_TYPE_L0RP = "TMR_L0RP" OUTPUT_FORMAT = "GEOTIFF" EPHEMERIS_TYPE = "PREDICTIVE" SPACECRAFT_ID = "LANDSAT_5" SENSOR_ID = "TM" SENSOR_MODE = "SAM" WRS_PATH = 123 WRS_ROW = 033(1997 landsat tm remote sensing data part01)

一个语音信号处理的python程序，采用pyQt写的界面。做的是最基本的语言处理，适合初学者及想参考QT界面编程的朋友。(a voice process program by python)

扫雷程序~使用python填写~ 相当好用好厉害哦(Mine-sweeping )

利用openmv硬件平台，实现颜色识别，色块跟随，并在串口打印出色块的中心坐标(Using openmv hardware platform to realize color recognition, color block following, and printing the center coordinates of excellent block at serial port)

实验室分子生物学 Laboratory Molecular Biology(Laboratory Molecular Biology)

谷歌地图查看位置,很好的实现这个功能，比一般的地图更加清晰，更加合理。(Google Map View location achieve this)

全国矢量地图大全 shp格式National vector map encyclopedia SHP format national vector map Daquan SHP format national vector map Daquan SHP format(National vector map encyclopedia SHP format national vector map Daquan SHP format national vector map Daquan SHP format)

shp文件，包含世界各国最新地图，制作精良，适用于制作电子地图(SHAPEFILE,INCLUDE MAIN CONTRIES IN THE WORLD ，suitable to make eletroic map)

python爬虫完整课件详细教程

说明：  本文针对滑坡预测预报这一复杂性问题提出一种基于前向反馈传播（BP）神经网络的预测模型，描述了滑坡系统输入输出之间的非线性关系。为克服 BP 网络后期收敛速度慢、易陷入局部极小点等缺点，以遗传算法（GA）和模拟退火算法（SA）相结合的方式即遗传-模拟退火（GSA）算法对网络权值进行优化。用该方法预测滑坡位移获得了较好的效果(In this paper, a prediction model based on forward feedback propagation (BP) neural network is proposed for the complex problem of landslide prediction. The nonlinear relationship between input and output of landslide system is described. In order to overcome the shortcomings of BP network, such as slow convergence speed and easy to fall into local minima, genetic algorithm (GA) and simulated annealing algorithm (SA) are combined to optimize the network weight. The method can be used to predict the displacement of landslides)