With the development of remote sensing technology, application hyperspectral images is becoming more and widespread. The accurate classification ground features through an important research content has attracted widespread attention. Many methods have achieved good results in images. This paper reviews from three aspects: supervised classification, semisupervised unsupervised classification.

Illite-smectite clay is a new mixed mineral of illite and montmorillonite. The ability nano illite/smectite to remove Pb(II) from slightly polluted aqueous solutions has been investigated. effects pH, contact time, initial concentration Pb(II), dosage, temperature on the adsorption process were studied. was characterized by X-Ray Diffraction (XRD), Fourier transform infrared spectrometry (FTIR), Scanning electron microscopy (SEM). results showed that adsorbed efficiently in solution....

Landslides are a type of frequent and widespread natural disaster. It is great significance to extract location information from the landslide in time. At present, most articles still select single band or RGB bands as feature for recognition. To improve efficiency recognition, this study proposed remote sensing recognition method based on convolutional neural network mixed spectral characteristics. Firstly, paper tried add NDVI (normalized difference vegetation index) NIRS (near‐infrared...

Hyperspectral remote sensing technology has a strong capability for ground object detection due to the low spatial resolution of hyperspectral imaging spectrometers. A single pixel that leads image usually contains more than one feature coverage type, resulting in mixed pixel. The existence affects accuracy identification and classification hinders application development technology. For problem unmixing pixels images (HSIs), linear mixing model can well. Through collation nearly five years...

Long-term dynamic monitoring of the water quality freshwater resources is great significance to stable and orderly operation human society. Most studies only use one measured data from station remote sensing satellite as source. However, a single source will cause inaccuracy incompatibility results. Few start practical applications generate digital images changes. Furthermore, performance shallow neural networks in not often ideal. Considering above problems, we proposed long short-term...

With the transformation of national energy and power sector, steady advancement intelligent grid construction continuous improvement Ubiquitous Power Internet Things technology framework, it has further requirements for realizing state comprehensive awareness efficient processing information data, been widely used in equipment. The infrared image recognition technology, which thermal fault diagnosis equipment, also requires deeper research. For traditional Intuitionistic Fuzzy C-means (IFCM)...

High spatial and temporal resolution remote sensing data play an important role in monitoring the rapid change of earth surface. However, there is irreconcilable contradiction between resolutions image acquired from a same sensor. The spatiotemporal fusion technology for effective way to solve contradiction. In this paper, we will study method based on convolutional neural network, which can fuse Landsat with high but low MODIS resolution, generate time series resolution. order improve...

Chlorophyll a and b content (Cab) leaf area index (LAI) are two key parameters of crops, their quantitative inversions important for growth monitoring the field management wheat. However, due to close correlation between spectral signals these effects soil atmospheric conditions, as well modeling errors, synchronous retrieval LAI Cab from remote sensing data is still challenging task. In previous study, we introduced optimal estimation theory established inversion framework by coupling...

Abstract Support vector data description (SVDD) has been effectively used in many anomaly detection problems. As equipped with kernel functions, its training complexity grows exponentially the increase of data, which makes it less practical for large-scale dataset. In this paper, we proposed a boundary samples extraction SVDD(BSE-SVDD) method based on reduction, aiming data. Firstly, BSE mechanism is established basis demonstrating that spatial position sample related to corresponding...

As a typical organophosphorus flame retardant, tris(2-chloroethyl) phosphate (TCEP) is refractory in aqueous environment. The application of TAP promising method for removing pollutants. Herein, the removal TCEP using was rigorously investigated, and effects some key variables were optimized by one-factor-at-a-time approach. To further evaluate interactions among variables, response surface methodology (RSM) based on central composite design employed. Under conditions (pH 5, [PS]0: [TCEP]0 =...

The development of the modern urban economy is closely tied to road construction, with roads being one most crucial components in development. use high-resolution remote sensing images monitor conditions cities and surrounding towns has become a highly emphasized research focus recent years. However, due complexity environment, this task still faces significant challenges. For instance, structures are intricate, which involve multiple lanes, intersections, building obstructions, etc. Rural...

The aging population is a big challenge all over the world. However, there are few studies to date investigating effects of trace element and mineral levels in drinking water soil (especially karst areas) on longevity. This study aims examine temporal spatial variations longevity Hechi (which recognized as city) investigate relationships between soils this city (the landscape). Population data were collected from relevant literature four national censuses 1982, 1990, 2000 2010. Drinking...

Person re-identification (Re-ID) is challenging due to host of factors: the variety human positions, difficulties in aligning bounding boxes, and complex backgrounds, among other factors. This paper proposes a new framework called EXAM (EXtreme And Moderate feature embeddings) for Re-ID tasks. done using discriminative learning, requiring attention-based guidance during training. Here “Extreme” refers salient features “Moderate” common features. In this framework, these types embeddings are...

Timely and accurate extraction of crop planting structure information is great importance for food security sustainable agricultural development. However, long time series data with high spatial resolution have a much larger volume, which seriously limits the quality efficiency application remote sensing to agriculture in complex rotation areas. To address this problem, paper takes Lujiang County, typical region middle lower reaches Yangtze River China as an example, proposes utilizing...