Recognition method for high-resolution remote-sensing imageries of ionic rare earth mining based on object-oriented technology

Li, Hengkai; Xu, Feng; Weng, Xuyang

doi:10.1007/s12517-020-06104-0

Cited by 4 publications

(4 citation statements)

References 7 publications

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“…Figure 8 shows the structure of BNVTELM. After adding BN, the net output h 1 of the first layer network is calculated according to Equation (14).…”

Section: Mssa-bnvtelmmentioning

confidence: 99%

“…Ali et al [13] monitored coal mining operations and assessed soil reclamation based on remote sensing information. Li et al [14] accurately monitored rare earth mining in rare earth mining areas based on high-resolution remote sensing images. Xie et al [15] used reflectance spectroscopy and Landsat-8 data to detect the grade of copper mines.…”

Section: Introductionmentioning

confidence: 99%

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Rapid Detection of Iron Ore and Mining Areas Based on MSSA-BNVTELM, Visible—Infrared Spectroscopy, and Remote Sensing

Xu,

Mao,

Zhang

et al. 2023

Remote Sensing

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The accuracy and rapidity of total iron content (TFE) analysis can accelerate iron ore production. Although the conventional TFE detection methods are accurate, its detection speed presents difficulties in meeting production requirements. Therefore, this paper proposes a method of TFE detection based on reflectance spectroscopy (wavelength range: 340–2500 nm) and remote sensing. Firstly, spectral experiments were conducted on iron ore using the HR SVC-1024 spectrometer to obtain spectral data for each sample. Then, the spectra were smoothed and dimensionally reduced by using wavelet transform and principal component analysis. To improve the detection accuracy of TFE, a two hidden layer extreme learning machine with variable neuron nodes based on an improved sparrow search algorithm and batch normalization optimization (MSSA-BNVTELM) is proposed. According to the experimental results, MSSA-BNVTELM exhibited superior detection accuracy in comparison to other algorithms. In addition, this research established a remote sensing detection model using Sentinel-2 data and MSSA-BNVTEM to detect the distribution of TFE in the mining area. The distribution of TFE in the mine area was plotted based on the detection results. The results show that the remote sensing of the mine area can be useful for detection of the TFE distribution, providing assistance for the mining plan.

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“…Figure 8 shows the structure of BNVTELM. After adding BN, the net output h 1 of the first layer network is calculated according to Equation (14).…”

Section: Mssa-bnvtelmmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Rapid Detection of Iron Ore and Mining Areas Based on MSSA-BNVTELM, Visible—Infrared Spectroscopy, and Remote Sensing

Xu,

Mao,

Zhang

et al. 2023

Remote Sensing

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show abstract

“…At present, object-oriented technology has been widely used in various spatial planning fields. Li et al proposed an object-oriented recognition method for monitoring ion-type rare earth mining using high spatial resolution remote sensing images [22]. Yang and Wan used GF-1 WFV sea surface oil spill images as data sources, and used four classic supervised classification algorithms to extract sea surface oil spill information [23].…”

Section: Research On Object-oriented Technologymentioning

confidence: 99%

Evaluation Model of Parking Equipment Planning and Design Based on Object-Oriented Technology

Sun

Luo

et al. 2021

Applied Sciences

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Stereo parking equipment has become an important means to solve the problem of parking difficulties, so it is necessary to study the planning of stereo parking equipment. This paper proposes an evaluation model for parking equipment planning and design, and verifies the feasibility of the model through an example. First, obtain the surface information of the planned area through object-oriented technology, and then complete the design layout of the area that can accommodate the most parking spaces according to the plan information map of the study area. Next, calculate the number of parking spaces required for each building in the area, and the number of available parking spaces within the maximum acceptable time for each building. Finally, compare the two to design the number and location of parking equipment. This method can quickly and accurately obtain the ground plane information map of the study area, while ensuring the capacity of parking spaces to meet the needs of users, it also improves the rationality and suitability of the planning and layout of stereo parking equipment, which can effectively guide the planning and construction of urban parking equipment.

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“…Object-oriented classification method. The object-oriented classification method has outstanding advantages in the application of high-resolution remote sensing images [62]. It not only makes full use of the spectral characteristics of the ground objects, but also considers their shape, texture and structure, so as to form a number of non-overlapping non-empty sub regions after segmentation to reduce "salt-andpepper noise" [63].…”

mentioning

confidence: 99%

A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions

Xiao

Qian

et al. 2022

Sustainability

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The crop spatial pattern (CSP) is the spatial expression of the planting structure, maturity and planting pattern of crops in a region or production unit. It reflects the situation of human agricultural production using agricultural production resources, and is very important for human survival and development. Based on 5356 publications collected from the Web of Science Core CollectionTM (WoS), this paper’s aim is to illustrate a comprehensive run-through and visualization of the subject of CSP. A time series evolution diagram of hot topics and the evolution of research hotspots are discussed in detail. Then, remote sensing monitoring methods of the crop planting area, multiple cropping, crop planting patterns and the mechanisms of crop spatial patterns are summarized, respectively. In the discussion, we focus on three important issues, namely, the remote sensing cloud platform, the changes in characteristics of the crop spatial pattern and the simulation of the crop spatial pattern. The main objective of the paper is to assist research workers interested in the area of CSP in determining potential research gaps and hotspots.

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Recognition method for high-resolution remote-sensing imageries of ionic rare earth mining based on object-oriented technology

Cited by 4 publications

References 7 publications

Rapid Detection of Iron Ore and Mining Areas Based on MSSA-BNVTELM, Visible—Infrared Spectroscopy, and Remote Sensing

Rapid Detection of Iron Ore and Mining Areas Based on MSSA-BNVTELM, Visible—Infrared Spectroscopy, and Remote Sensing

Evaluation Model of Parking Equipment Planning and Design Based on Object-Oriented Technology

A Bibliometric Analysis of the Application of Remote Sensing in Crop Spatial Patterns: Current Status, Progress and Future Directions

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