In this paper, we propose to use a quantitative approach based on LS-SVM to perform estimation of the impact of lossy compression on remote sensing image compression. Kernel function selection and the model parameters computation are studied for remote sensing image classification when LS-SVM analysis model is establish. The experiments show that our LS-SVM model achieves a good performance in ...

A dynamic Bayesian network data fusion algorithm for estimating leaf area index using time-series data from in situ measurement to remote sensing observations Yonghua Qu a b , Yuzhen Zhang a b & Jindi Wang a b a State Key Laboratory of Remote Sensing Science, Jointly Sponsored by Beijing Normal University and Institute of Remote Sensing Applications, Chinese Academy of Sciences, Beijing, 100875...

the degradation rate of mediterranean steppes, especially in north africa is 1% per year, and this considered as high a rate of degradation. this study conducted in 2014 in the south slope of the al-jabal al-akhdar, northeast libya to quantify the vegetation recovery rate and assess selected vegetation indices (vis) for mapping rangelands degradation status using remote sensing technology. thro...

Hyperspectral remote sensing records reflectance or emittance data in a large sum of contiguous and narrow spectral bands, and thus has many information in detecting and mapping the mineral zones. On the other hand, the geological and geophysical data gives us some other fruitful information about the physical characteristics of soil and minerals that have been recorded from the surface. ...

The aim of this study is prospecting of iron and manganese in the Balvard 1:100000 sheet which is situated in Sanandaj - Sirjan structural zone utilizing Index Overlay and Fuzzy Logic methods in the GIS. In this study, the layers for integration, alterations, geological, geophysical, geochemical and structural data based on stream sediments, airborne magnetometeric and remote sensing studies. B...

The preparation of vegetation cover maps by used the land inventory and a traditional method has a lot of cost and time. But today, remote sensing is one of the main sources of data collection and information production for study and monitoring land resources, and was efficient tools for providing quickly and timely data and information needs for program planning in the natural resource filed. ...

The fast mineral exploration system with remote sensing is a brand new exploration system of recognition, identification, analysis and prediction. It takes metallogenic materials as the detection targets, uses the spectrum measuring technique as detection means and takes the spatial and temporal sequence of mineralization and alteration information as an evaluation basis. It develops and improv...

Remote sensing data is a collection of images and interpretation of information about an object, area, or event without any physical contact with it. Aircraft and satellites are common remote sensing platforms for earth and its natural sources. Remote sensing’s ability to identify and monitor land surfaces and environmental conditions expanded over years with remote sensed data being essential ...