1.
Radiative Transfer Model (RTM)-based Water Pollution Parameters Retrieval from Landsat TM/ETM Data;
基于辐射传输模型的水质参数定量遥感反演
2.
Parallel implementation of aerosol optical depth retrieval algorithm
基于并行计算的气溶胶定量遥感反演模型实现
3.
Inversion of Water Depth and Bottom Reflectance by Remote Sensing Based on Radioactive Transfer Model
基于辐射传输模型定量遥感反演水深和水底反射率
4.
Study on Land Degradation Assessment and Prediction in Zhenlai County Based on Quantitative Remote Sensing Inversion;
基于定量遥感反演的镇赉县土地退化评价与预测研究
5.
Quantitative Inversion of Biochemical Compositions by Hyperspectral Remote Sensing;
植被生化组分高光谱遥感定量反演研究
6.
Study on Quantitative Retrieval with Hyperspectral Resolution Remote Sensing for Desertification Monitoring;
高光谱遥感在荒漠化监测中的定量反演研究
7.
Ecological environment elements based on MODIS remote sensing quantitative retrieval in Songnen Plain
基于MODIS遥感定量反演的松嫩平原生态环境要素
8.
Study on the Effect of Atmospheric Correction in the Weihe River Quality Quantitative Retrieving of Remote Sensing
渭河定量遥感水质反演中的大气校正作用研究
9.
Retrieval and Analysis of Elevation at Mudflat Using Remote Sensing;
长江口淤泥质潮滩高程遥感定量反演及冲淤演变分析
10.
Silicon Dioxide Content of Surface Rock Quantify Inversion and Retrieval by Thermal Infrared ASTER Data
ASTER热红外遥感地表岩石的二氧化硅含量定量反演
11.
Both modeling and model-based inversion are important for quantitative remote sensing.
前向建模和基于模型的反演是定量遥感的两个主要方向。
12.
Study on the Urban Aerosol Quantitative Retrieval Based on the Remote Sensing and Ground-based Air Quality Measurement Data
基于遥感与地面监测数据的城市气溶胶定量反演研究
13.
Study on Quantitative Retrieval of Soil Organic Matter and Related Elements in the Black Soil in Songliao Plain Based on RS Data;
松辽平原黑土有机质及相关元素遥感定量反演研究
14.
Quantitative Estimation of Land Surface Parameters and Their Applications in Urban Thermal Environment Studies;
地表参数遥感定量反演及其在城市热环境研究中的应用
15.
Quantitive Retrieval of Sparse Vegetation Cover in Arid Regions Using Hyperspectral Data;
干旱地区稀疏植被覆盖度高光谱遥感定量反演研究
16.
A Study on Land Surface Temperature Retrieval over Urbanized Region Based on Remote Sensing Data Mining;
基于遥感数据挖掘定量反演城市化区域地表温度研究
17.
Methods of Modeling Forest Biomass Based on Remote Sensing Information;
森林生物量遥感反演建模基础与方法研究
18.
Estimation and Retrieval of Forest Volume by Remote Sensing Based on KNN
基于KNN法的森林蓄积量的遥感估计和反演