Vol. 9 No. 2 (2020)

Open Access

Article

Article ID: 254

Application of new technology in pest control of forestry

by shiheng Qi shiheng Qi

Remote Sensing, Vol.9, No.2, 2020; 146 Views, 16 PDF Downloads

: Forestry is People's life , Social Development , important content for environmental protection . with the continuous development and progress of science and technology , Forest Pest prevention work to be replaced by new technology , by using remote sensing , Geographic Information systems and High-tech technologies such as global Navigation satellite systems , strengthens the forest Survival and growth protection . This article describes the new technology theory ,features , , focuses on analyzing remote sensing technology , Geographic Information technology , navigation system and things networking technology 5 Item Technology , provides reference for strengthening research on new technologies of forest Pest Control . 

Open Access

Article

Article ID: 323

High accuracy measurement of the MTF of electro-optical Imaging System

by hang Li hang Li

Remote Sensing, Vol.9, No.2, 2020; 126 Views, 25 PDF Downloads

In This study , an improved slanted Edge method was proposed . It had a High accuracy for measuring Modulation Transfer Function ( MTF"of") electro-optical imaging system. We put forward an automatic Determination of the High and low thresholdmodified Canny operator to detect the Edge points , and Edge slant angle is obtained by linear fitting to the edge points . In Process to fitting The edge spread function (ESF) by Fermi function , We put forward a modified method to reduce the Influence o noise. It was composed The averaging in adjacent region and setting this tolerance to error. The Method In this paper is proved efectively by E x perimental results, and analyzing This influence to the Change To the [] Edge slant Angle then noise on this MTF measurement accuracy. The e xperimental results show that on Measurement accuracy of on modifiedslanted Edge method s 0.004 9, and The Repeat accuracy s 0.003 1,which s higher than this Traditional methods. It proves that the Modified slanted Edge method has High measurement and repeat accuracy, and also has a better immunity to noise , and Edge Angle.

Open Access

Article

Article ID: 331

Optical Remote Sensing Image defogging algorithm Based on dcm-htm

by jiwei Xu jiwei Xu

Remote Sensing, Vol.9, No.2, 2024; 150 Views, 17 PDF Downloads

focusing on fog detection and correction of satellite remote sensing image, a defogging algorithm dcm-htm for R Emote sensing image is proposed by the combination of Dark channel map (DCM) and haze thickness map (HTM). Based on the principle of dark channel mean-shift filter and automatic histogram threshold are to used detect area t the same time, the HTM is obtained by nonoverlapping window. At last, the correction of fog is produced in the fog area. The results show that the algorithm can accurately detect the fog area, and the areas affected by the haze can be effecti Vely corrected in the premise of image normal areas not affected. The results are improved greatly compared with the fog correction of the whole image.