Hypothesis-test-based landcover change detection using multi-temporal satellite images – A comparative study

Remote sensing images and technologies have been widely applied to environmental monitoring, in particular landuse/landcover classification and change detection. However, the uncertainties involved in such applications have not been fully addressed. In this paper two hypothesis-test-based change detection methods, namely the bivariate joint distribution method and the conditional distribution method, are proposed to tackle the uncertainties in change detection by making decisions based on the desired level of significance. Both methods require a data set of class-dependent no-change pixels to form the basis for class-dependent hypothesis test. Using an exemplar study area in central Taiwan, performance of the proposed methods are shown to be significantly superior to two other commonly applied methods (the post-classification comparison and the image differencing methods) in terms of the overall change detection accuracies. The conditional distribution method takes into consideration the correlation between digital numbers of the pre- and post-images and the effect of the known pre-image digital number on the range of the post-image digital number, and therefore yields the highest change detection accuracy. It is also demonstrated that the class-dependent change detection is crucial for accurate landuse/landcover change detection.     

高校校园文化建设刍议

更新观念，正确认识校园文化在学校可持续发展中的地位；与时俱进，充分挖掘在校园文化建设中所彰显的体现学校特色内外在形象；通过内隐与外在的学校形象表现，从公关的意识和策划的高度引发和阐述出实施校园文化建设的原则与加强校园文化建设的落脚点，以及校园文化建设对学校的整体效益和持续发展裨益所在。     

圆度误差的一种微机图像测量法

将圆度误差测量的影像法与最小二乘圆法相结合，利用多媒体图像处理技术，设计了一种圆度误差的微机自动测量系统，实现了非接触、远距离快速测量，提高了测量精确度，为某些特殊工件的测量提供了一套实用的测量方法。     

提高长线传输数字波形质量的技术措施

从两方面论述数字编码波形在长线上传输的影响因素及其改善措施。通过分析并经实验表明，长线的分布电容影响通常居诸因素之首位。改进长线驱动电路，在一定程度上，可改善其传输波形之质量。另外，可利用长线传输波形的同时，还传输供总线接口电路需要的电源能量，满足总线浮空隔离的要求，有效地抑制了共模干扰。此项技术适用于远距多路串行总线的数据采集系统。     

红外导引头光学系统的像质验收技术

从满足使用要求出发论述了红外导引头光学系统成像质量的验收原理、性能参数和方法。指出了性能验收的影响因素并提出了相应的解决措施。     

Neural adaptive control for a ground experiment of the space proximity operation in a six-degree-of-freedom micro-gravity simulation system

In this study, a neural adaptive controller is developed for a ground experiment with a spacecraft proximity operation. As the water resistance in the experiment is highly nonlinear and can significantly affect the fidelity of the ground experiment, the water resistance must be estimated accurately and compensated using an active force online. For this problem, a novel control algorithm combined with Chebyshev Neural Networks (CNN) and an Active Disturbance Rejection Control (ADRC) is proposed. Specifically, the CNN algorithm is used to estimate the water resistance. The advantage of the CNN estimation is that the coefficients of the approximation can be adaptively changed to minimize the estimation error. Combined with the ADRC algorithm, the total disturbance is compensated in the experiment to improve the fidelity. The dynamic model of the spacecraft proximity maneuver in the experiment is established. The ground experiment of the proximity maneuver that considers an obstacle is provided to verify the efficiency of the proposed controller. The results demonstrate that the proposed method outperforms the pure ADRC method and can achieve close-to-real-time performance for the spacecraft proximity maneuver.     

Latitudinal distribution of solar coronal active regions

We studied the cyclic evolution of the latitudinal distribution of solar coronal active regions based on daily images from SOHO EIT for the period 1995–2017. Fully automated software was used, which included the following steps: initial preparation of images in the data series, normalization of histograms and correction of limb brightening, segmentation of images using threshold intensity values obtained from their histograms, scanning of segmented images in heliographic coordinates and obtaining profiles of latitudinal distribution of coronal active regions for each image of the data series. From the output data, we obtained a temporary change in the latitudinal distribution profiles and the migration of activity centers on the solar disk. From the period of minimum activity to the next minimum in both hemispheres, activity centers begin to migrate from high latitudes towards the equator. At the same time, the general center of activity repeatedly changes the direction of migration. The latitudinal distribution of the so-called presence factor of coronal active regions closely resembles the magnetic butterfly diagram, which proves their direct causal relationships. Variations in the presence factor of coronal active regions are correlated with cyclic variations in the sunspot daily numbers.     

Collaborative image compression and classification with multi-task learning for visual Internet of Things

Widespread deployment of the Internet of Things(Io T) has changed the way that network services are developed, deployed, and operated. Most onboard advanced Io T devices are equipped with visual sensors that form the so-called visual Io T. Typically, the sender would compress images, and then through the communication network, the receiver would decode images, and then analyze the images for applications. However, image compression and semantic inference are generally conducted separately, and t...     

国土卫星图象的校正方法

自国土普查卫星发射成功以来,针对国土星成象的几何特性,先后研制了一系列针对不同成象条件和地表状况的几何校正方法。文章的目的,就是对这些方法,从客观的角度,进行评述。找出存在的问题,并指出解决这些问题的方法。     

SPOT遥感图象的信息保持型压缩

对SPOT遥感图象的信息保持型压缩编码进行了研究。对几种不同的预测器及A_2、A_3线性码进行了比较,得出如下结论:在SPOT 遥感图象的信息保持型压缩编码中,采用文献[1]提出的三点预测器较好,线性码采用A_3码较好;两者结合,在信息保持率大于99%时,可使压缩比达2倍以上。文内还对在压缩图象的传输与恢复中碰到的问题进行了探讨。