A5036768385- Remote Sensing in Agriculture
- Semiconductor materials and devices
- Catalytic Processes in Materials Science
- Land Use and Ecosystem Services
- Remote-Sensing Image Classification
- Remote Sensing and LiDAR Applications
- Soil Geostatistics and Mapping
- Granular flow and fluidized beds
- ZnO doping and properties
- GaN-based semiconductor devices and materials
- Ga2O3 and related materials
- Remote Sensing and Land Use
- Catalysis and Oxidation Reactions
- Ferroelectric and Piezoelectric Materials
- Advanced battery technologies research
- Transition Metal Oxide Nanomaterials
- Dielectric materials and actuators
- Chemical Analysis and Environmental Impact
- Energetic Materials and Combustion
- Automated Road and Building Extraction
- Geophysics and Gravity Measurements
- Soil erosion and sediment transport
- Cyclone Separators and Fluid Dynamics
- Advancements in Battery Materials
- Satellite Image Processing and Photogrammetry
Chang'an University
2019-2023
Microbiology Institute of Shaanxi
2022-2023
Wuhan University
2014-2019
Land cover information is vital for research and applications concerning natural resources environmental modeling. Accuracy assessment an important dimension in use production of land information. GlobeLand30 a relatively new global product with fine spatial resolution 30 m potentially useful many applications. This paper describes the methods results from first country-wide statistically based accuracy 2010 dataset over China. For this, total 8400 validation sample pixels were collected on...
The atomic layer deposition technique is utilized to fabricate core–shell nanostructures for enhancing the energy-storage density of advanced polymer composites dielectrics.
Parameters of geomorphological characteristics are critical for research on yardangs. However, methods which low-cost, accurate, and automatic or semi-automatic extracting these parameters limited. We present here techniques this purpose. They object-based image analysis (OBIA) Canny edge detection (CED), using free, very high spatial resolution images from Google Earth. chose yardang fields in Dunhuang west China to test the methods. Our results showed that extractions registered an overall...
There are a variety of land cover products generated from remote-sensing images. However, misclassification errors in individual and inconsistency among them undermine their utilities for research other applications. While it is worth developing advanced pattern classifiers utilizing the images finer spatial, temporal, and/or spectral resolution increased classification accuracy, also sensible to increase map accuracy through effective fusion by exploiting complementarity multi-source over...
It is increasingly recognized that classification accuracy should be characterized locally at the level of individual pixels to depict its spatial variability better inform users and producers land-cover information than by conventional error-matrix-based methods. Local or per-pixel usually estimated through empirical modelling, such as logistic regression, which often proceeds in a class-aggregated class-stratified way, with latter being generally more accurate due accommodation for...
Data refinement refers to the processes by which a dataset’s resolution, in particular, spatial one, is refined, and thus synonymous downscaling. Spatial resolution indicates measurement scale can be seen as an index for regular data support. As type of change scale, useful many scenarios where scales existing data, desired analyses, or specific applications need made commensurate refined. are related certain support, they conceived support-specific realizations random fields, suggesting...
With the development of high-power devices, thermal management has become extremely important for modern electronics.
In response to uncertainty in remotely sensed land cover products, there is continuing research on accuracy assessment and analysis. Given reference sample data, indicators are commonly estimated based error matrices, from which areal extents of different types also estimated. There merits explore the ways utilities products may be further enhanced beyond map face values conventional area estimation. This paper presents an integrative method (CCAErrMat) for characterization utility...
As in conventional error matrix-based accuracy assessments, collocated reference sample data are often used for characterizing per-pixel (local) accuracies land-cover change maps so that local predictions can be made using direct methods. In way, correctness “from-to” categorization at pixels is assessed and modeled directly. To circumvent the issue of being non-collocated, as case collected independently mono-temporal labeling or those added necessarily to reflect landscape changes, PXCOV...
Abstract As a typical wide band gap semiconductor material, gallium nitride (GaN) has found extensive applications in electronic related fields. This material could also make promising catalyst. However, due to the difficulty of synthesizing high surface area GaN, its catalysis have been greatly constrained. In this work, we report novel method GaN catalysts supported on mesoporous silica (MCM‐41) using thermal atomic layer deposition (ALD). Trimethyl and ammonia were alternately dosed...
Remote-sensing images of high spatial resolution (HSR) are valuable sources fine-grained information for various applications, such as urban surveys and governance. There is continuing research on positional errors in remote-sensing their impacts geoprocessing applications. This paper explores the combined use multi-point geostatistics (MPS), machine learning—in particular, generalized additive modeling (GAM)—and computer-image correlation characterizing images—in HSR images. These methods...