Vol. 10 No. 1 (2021)

Open Access

Articles

Article ID: 257

Application of remote sensing technology in earthquake prediction

by yuke Wang yuke Wang

Remote Sensing, Vol.10, No.1, 2021; 187 Views, 6 PDF Downloads

earthquakes are common natural disasters , China is an earthquake-prone country , Geological Construction complex , is a generalized shallow source seismic activity area , Strengthen earthquake prediction work for It is important to avoid loss of people's property . can be in time , exact , Effective earthquake prediction ,monitoring and earthquake relief work is very necessary . The main stitch of this article Application of remote sensing technology in earthquake prediction work analysis .

Open Access

Articles

Article ID: 460

Spectral Unmixing of Hyperspectral Images in the Presence of Small Targets

by Sylvain Ravel, Caroline Fossati, Salah Bourennane

Remote Sensing, Vol.10, No.1, 2021; 683 Views, 10 PDF Downloads

Generally, the content of the hyperspectral image pixel is a mixture of the reflectance spectra of the different components in the imaged scene. In this paper, we consider a linear mixing model where the pixels are linear combinations of those reflectance spectra, called endmembers, and linear coefficients corresponding to their abundances. An important issue in hyperspectral imagery consists in unmixing those pixels to retrieve the endmembers and their corresponding abundances. We consider the unmixing issue in the presence of small targets, that is, their endmembers are only contained in few pixels of the image. We introduce a thresholding method relying on Non-negative Matrix Factorization to detect pixels containing rare endmembers. We propose two resampling methods based on bootstrap for spectral unmixing of hyperspectral images to retrieve both the dominant and rare endmembers. Our experimental results on both simulated and real world data demonstrate the efficiency of the proposed method to estimate correctly all the endmembers present in hyperspectral images, in particular the rare endmembers.

Open Access

Articles

Article ID: 112

Using of remote sensing and aeromagnetic data for predicting potential areas of hydrothermal mineral deposits in the Central Eastern Desert of Egypt

by Mohamed Ismail Abdelkareem

Remote Sensing, Vol.10, No.1, 2021; 719 Views, 11 PDF Downloads

This article explored mineral resources and their relation to structural settings in the Central Eastern Desert (CED) of Egypt. Integration of remote sensing (RS) with aeromagnetic (AMG) data was conducted to generate a mineral predictive map.  Several image transformation and enhancement techniques were performed to Landsat Operational Land Imager (OLI) and Shuttle Radar Topography Mission (SRTM) data. Using band ratios and oriented principal component analysis (PCA) on OLI data allowed delineating hydrothermal alteration zones (HAZs) and highlighted structural discontinuity. Moreover, processing of the AMG using Standard Euler deconvolution and residual magnetic anomalies successfully revealed the subsurface structural features. Zones of hydrothermal alteration and surface/subsurface geologic structural density maps were combined through GIS technique. The results showed a mineral predictive map that ranked from very low to very high probability. Field validation allowed verifying the prepared map and revealed several mineralized sites including talc, talc-schist, gold mines and quartz veins associated with hematite. Overall, integration of RS and AMG data are powerful techniques in revealing areas of potential mineralization involved with hydrothermal processes.