The present study introduces the four-component scattering power decomposition (4-CSPD) algorithm with rotation of covariance matrix, and presents an experimental proof of the equivalence between the 4-CSPD algorithms based on rotation of covariance matrix and coherency matrix. From a theoretical point of view, the 4-CSPD algorithms with rotation of the two matrices are identical. Although it s...

According to historical records, land subsidence has been occurring in Xi'an, China, since the 1960s, characterized by complex patterns. This potential cause serious societal and economic problems during process of urbanization. Long-term, large-scale monitoring dynamic high precision tracking evolution surface deformation associated with geohazards is a prerequisite for effective prevention or...

Abstract Geological structures identification using conventional optical remote sensing encountered some problems due to atmospheric and surface conditions. Therefore, we exploited the Synthetic Aperture Radar (SAR) in Ascending Descending orbits characterize lineaments related geological structures. We have analyzed two images from Phased Array type L-band (PALSAR) onboard Advanced Land Observ...

Lineaments mapping is an authentic issue for deciphering the tectonic setting, geological history, mineral prospecting, and other several applications. Consequently, study objective to examine various remote sensing datasets at wide spatial resolutions (10, 12.5, 15, 20, 30 m), recommend best in lineaments elicitation, usage scientific community. Toward this aim, nine including optical sensors ...

Emission of the CO2 from the Indonesian forest is mainly composed of the deforestation, forest degradation, and the peat land subsidence. Peat land subsidence of Indonesian islands represented by the Central Kalimantan is induced by the global warming and the resultant chemical processes at the peat land emit the CO2 to the air. The measurement of a relationship between the subsidence speed and...

Classification maps are required for agricultural management and the estimation of agricultural disaster compensation. The extreme learning machine (ELM), a newly developed single hidden layer neural network is used as a supervised classifier for remote sensing classifications. In this study, the ELM was evaluated to examine its potential for multi-temporal ALOS/PALSAR images for the classifica...

Underground mining activities lead to ground movements at the earth surface. An area-wide monitoring and the documentation of mining induced influences are required by the mining authorities. Work done in the past confirmed a significant potential of SAR interferometric methods to contribute information to such monitoring. Nevertheless, in spite of advanced SAR interferometric processing techni...

The objective of this paper is to assess the sub-aperture analysis technique for the detection of coherent scatterers (CSs) using polarimetric SAR data. The non normalized coherence is used to greatly improve the contrast between the clutter and the target, since it can preserve the strong intensity information of the target. Furthermore, by applying a way similar to the polarimetric interferom...

We analyzed ALOS PALSAR interferometric data pairs from Sendai Plain, Japan, along the Pacific Ocean. Continuous fringe patterns were extracted from the data pair of which perpendicular baseline distance is more than 2000 m. Most of the interferograms generated in this study show fringe features that are independent from actual surface deformation. Some features are common to different interfer...