Chengye Zhang

Orcid: 0000-0002-4902-8704

Affiliations:
  • China University of Mining and Technology, College of Geoscience and Surveying Engineering, Beijing, China
  • Peking University, Beijing, China (PhD 2018)


According to our database1, Chengye Zhang authored at least 26 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Online presence:

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Bibliography

2024
Remote Sensing and Geospatial Approaches for Studying the Environment Affected by Human Activities.
Remote. Sens., September, 2024

Evaluating the Impact of Human Activities on Vegetation Restoration in Mining Areas Based on the GTWR.
ISPRS Int. J. Geo Inf., April, 2024

QuadGridSIM: A quadrilateral grid-based method for high-performance and robust trajectory similarity analysis.
Trans. GIS, February, 2024

CTMNet: Enhanced Open-Pit Mine Extraction and Change Detection With a Hybrid CNN-Transformer Multitask Network.
IEEE Trans. Geosci. Remote. Sens., 2024

2023
A new method for the extraction of tailing ponds from very high-resolution remotely sensed images: PSVED.
Int. J. Digit. Earth, December, 2023

Multi-Level Difference Network for Change Detection from Very High-Resolution Remote Sensing Images: A Case Study in Open-Pit Mines.
Remote. Sens., July, 2023

Change Detection of Open-Pit Mine Based on Siamese Multiscale Network.
IEEE Geosci. Remote. Sens. Lett., 2023

2022
gsstSIM: A high-performance and synchronized similarity analysis method of spatiotemporal trajectory based on grid model representation.
Trans. GIS, 2022

A New Method for Quantitative Analysis of Driving Factors for Vegetation Coverage Change in Mining Areas: GWDF-ANN.
Remote. Sens., 2022

Object-based image analysis combined with improved DenseNet for land use classification in mining areas.
Proceedings of the 29th International Conference on Geoinformatics, 2022

2021
Parcel-level evaluation of urban land use efficiency based on multisource spatiotemporal data: A case study of Ningbo City, China.
Trans. GIS, 2021

Optical and Thermal Remote Sensing for Monitoring Agricultural Drought.
Remote. Sens., 2021

Unmanned Aerial Vehicle Knowledge Graph Construction with SpERT.
Proceedings of the CCKS 2021 - Evaluation Track, 2021

2020
Global Prototypical Network for Few-Shot Hyperspectral Image Classification.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2020

Deep Quadruplet Network for Hyperspectral Image Classification with a Small Number of Samples.
Remote. Sens., 2020

Application of Luojia 1-01 Nighttime Images for Detecting the Light Changes for the 2019 Spring Festival in Western Cities, China.
Remote. Sens., 2020

A Review of Remote Sensing for Environmental Monitoring in China.
Remote. Sens., 2020

2018
Crop Leaf Area Index Retrieval Based on Inverted Difference Vegetation Index and NDVI.
IEEE Geosci. Remote. Sens. Lett., 2018

2017
Surface Water Extraction From Landsat 8 OLI Imagery Using the LBV Transformation.
IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2017

Advancing the PROSPECT-5 Model to Simulate the Spectral Reflectance of Copper-Stressed Leaves.
Remote. Sens., 2017

Simultaneous retrieval of leaf area index and fractional canopy cover using SAIL model and PSO algorithm.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

The estimation and validation of fractional vegetation cover based on GaoFen-4 satellite imagery.
Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

2015
Super-Low Frequency electromagnetic noise processing system based on adaptive filtering.
Proceedings of the 2015 IEEE International Geoscience and Remote Sensing Symposium, 2015

2014
Analysis and design of passive super low frequency detection system.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Hyperspectral remote sensing for coal-bed methane exploration.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014

Passive super-low frequency remote sensing technique for monitoring coal-bed methane reservoirs.
Proceedings of the 2014 IEEE Geoscience and Remote Sensing Symposium, 2014


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