Plasma-based pattern transfer of lithographically produced nanoscale patterns in advanced photoresist materials is often accompanied by surface roughening and line edge due to factors which are not well understood. We have studied the evolution prototypical 193 248nm during plasma processing as a function operating parameters. used real-time ellipsometry mass spectrometry, along with atomic force microscopy, x-ray photoemission spectroscopy time-of-flight secondary ion spectrometry an effort...

Numerous opportunities for advancement exist in the field of man-made target detection using synthetic aperture radar (SAR). With development SAR sensors, high spatial resolution violates validity zero-mean assumption, particularly urban applications. In 2012, we refined conventional azimuth stationarity extraction method by adopting a nonzero-mean model-the Rician distribution-to better adapt to high-resolution imagery areas and improved result significantly. However, model cannot make full...

The model-based inversion of spaceborne polarimetric interferometric synthetic aperture radar (PolInSAR) has great potential for large-scale forest height estimation. performance strongly depends on the accurate estimation ground phase and volume coherence, these aspects still need to be addressed due double-candidate effect phase. This paper introduces a maximum posteriori method based two-layer randomly oriented over model achieve more Firstly, components from different polarizations are...

The rapid development of China's economy has increased the number listed companies. Some companies use accounting information to carry out targeted financial fraud. This behavior distorts companies, seriously misleads investors' investment judgments, endangers vital interests investors, and undermines fairness trading market. article takes Luckin Coffee as research object, conducts a case study on its

In this paper, we propose a complete solution for effective, automatic and accurate reconstruction of the lunar surface based on linear array push-broom imagery from Chang E-2 (CE-2). First, with sparse ephemeris data, an approach estimating corresponding areas between forward (F) backward (B) is proposed through exploiting imaging characteristics cameras. Second, feature matching (FBM) conducted F B imagery, followed by Area Based Matching (ABM) dense correspondence. Third, extrinsic...

Modeling the soil component temperature distribution is useful to study multi-angular thermal remote sensing. SVAT (soil-plant-atmosphere transfer) model could be a good choice because it can predict canopy distribution. However, most of them, including CUPID 111. were unable separate shade and sunlit soil. They only gave single for surface. In this paper, based on difference net radiance evaporation rate between soil, an extended from was proposed simultaneously retrieve shaded The...

This paper presents a method for extracting the digital elevation model (DEM) of forested areas from polarimetric interferometric synthetic aperture radar (PolInSAR) data. The models ground phase as Von Mises distribution, with mean topographic computed an external DEM. By combining prior distribution complex Wishart observation covariance matrix, we derive maximum posterior (MAP) inversion based on RVoG and analyze its Cramer–Rao Lower Bound (CRLB). Furthermore, considering characteristics...

The model-based polarimetric interferometric synthetic aperture radar (PolInSAR) forest height inversion is inherently affected by non-ideal system parameters, including channel imbalance, crosstalk, and noise. To investigate the impact of parameters on estimated height, this paper introduces an analytical error model based two-layer randomly oriented volume over ground model. Firstly, transfer function derived to present caused disturbance coherence. Then, coupled effects coherence are...

Leaf area index is a basic quantity representing plant growth and needed in regional global agricultural, ecological meteorological models. There are some factors that influence the LAI estimation, such as uncertainty of parameters model relies upon, uncertainties choosing different model, from instrument noise data processing, bias priori knowledge used inversion process, heterogeneity surface. The effects remote sensing pixel on estimation investigated this work. Mixed pixels major source...