Search Results - "Dai, Qinling"

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  1. 1

    Integrating three-dimensional greenness into RSEI improved the scientificity of ecological environment quality assessment for forest by Liu, Yun, Xu, Weiheng, Hong, Zehu, Wang, Leiguang, Ou, Guanglong, Lu, Ning, Dai, Qinling

    Published in Ecological indicators (01-12-2023)
    “…Normalized Difference Vegetation Index (NDVI) is widely used to represent the greenness indicator for the Ecological Environment Quality (EEQ) assessment based…”
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    Journal Article
  2. 2

    Retrieval of Three-Dimensional Green Volume in Urban Green Space from Multi-Source Remote Sensing Data by Hong, Zehu, Xu, Weiheng, Liu, Yun, Wang, Leiguang, Ou, Guanglong, Lu, Ning, Dai, Qinling

    Published in Remote sensing (Basel, Switzerland) (01-11-2023)
    “…Quantification of three-dimensional green volume (3DGV) plays a crucial role in assessing environmental benefits to urban green space (UGS) at a regional…”
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    Journal Article
  3. 3

    Boosting Semantic Segmentation of Remote Sensing Images by Introducing Edge Extraction Network and Spectral Indices by Zhang, Yue, Yang, Ruiqi, Dai, Qinling, Zhao, Yili, Xu, Weiheng, Wang, Jun, Wang, Leiguang

    Published in Remote sensing (Basel, Switzerland) (01-11-2023)
    “…Deep convolutional neural networks have greatly enhanced the semantic segmentation of remote sensing images. However, most networks are primarily designed to…”
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    Journal Article
  4. 4

    Synergism of Multi-Modal Data for Mapping Tree Species Distribution—A Case Study from a Mountainous Forest in Southwest China by Zheng, Pengfei, Fang, Panfei, Wang, Leiguang, Ou, Guanglong, Xu, Weiheng, Dai, Fei, Dai, Qinling

    Published in Remote sensing (Basel, Switzerland) (01-02-2023)
    “…Accurately mapping tree species is crucial for forest management and conservation. Most previous studies relied on features derived from optical imagery, and…”
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    Journal Article
  5. 5

    Regionalized classification of stand tree species in mountainous forests by fusing advanced classifiers and ecological niche model by Fang, Panfei, Ou, Guanglong, Li, Ruonan, Wang, Leiguang, Xu, Weiheng, Dai, Qinling, Huang, Xin

    Published in GIScience and remote sensing (31-12-2023)
    “…Though many new remote sensing technologies have been introduced to analyze forests, regional-scale species-level mapping products are still rare, especially…”
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    Journal Article
  6. 6

    MAE-BG: dual-stream boundary optimization for remote sensing image semantic segmentation by Yang, Ruiqi, Zheng, Chen, Wang, Leiguang, Zhao, Yili, Fu, Zhitao, Dai, Qinling

    Published in Geocarto international (31-12-2023)
    “…Deep learning has achieved remarkable performance in semantically segmenting remotely sensed images. However, the high-frequency detail loss caused by…”
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    Journal Article
  7. 7

    Estimation of the Three-Dimension Green Volume Based on UAV RGB Images: A Case Study in YueYaTan Park in Kunming, China by Zehu Hong, Weiheng Xu, Yun Liu, Leiguang Wang, Guanglong Ou, Ning Lu, Qinling Dai

    Published in Forests (01-04-2023)
    “…Three-dimension green volume (3DGV) is a quantitative index that measures the crown space occupied by growing plants. It is often used to evaluate the…”
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    Journal Article
  8. 8

    Guided Image Filtering-Based Pan-Sharpening Method: A Case Study of GaoFen-2 Imagery by Zheng, Yalan, Dai, Qinling, Tu, Zhigang, Wang, Leiguang

    “…GaoFen-2 (GF-2) is a civilian optical satellite self-developed by China equipped with both multispectral and panchromatic sensors, and is the first satellite…”
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    Journal Article
  9. 9

    Optimization of Segmentation Algorithms Through Mean-Shift Filtering Preprocessing by Leiguang Wang, Guoying Liu, Qinling Dai

    Published in IEEE geoscience and remote sensing letters (01-03-2014)
    “…This letter proposes an improved mean-shift filtering method. The method is added as a preprocessing step for regional segmentation methods, which aims at…”
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    Journal Article
  10. 10

    Spatial regularization of pixel-based classification maps by a two-step MRF method by Leiguang Wang, Qinling Dai, Xin Huang

    “…Markov random field (MRF)based spatial regularizing methodology can improve the maps by imposing a spatial smoothness prior on the image grid, but also leads…”
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    Conference Proceeding
  11. 11

    A new pansharpen method based on guided image filtering: A case study over Gaofen-2 imagery by Wenfei Zhao, Qinling Dai, Yalan Zheng, Leiguang Wang

    “…Gaofen-2 is a Chinese satellite launched in August 2014, which provides high-resolution imagery for Earth observation. In this paper, we propose a novel remote…”
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    Conference Proceeding
  12. 12

    An mean shift algorithm with adaptive bandwidth and weight selection for high spatial remotely sensed imagery segmentation by Qinling Dai, Leiguang Wang, Qizhi Xu, Yun Zhang

    “…An improved mean shift segmentation method featuring adaptive parameter selection is presented in this paper. We associate the bandwidths and weight for each…”
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    Conference Proceeding
  13. 13

    Constructing Hierarchical Segmentation Tree for Feature Extraction and Land Cover Classification of High Resolution MS Imagery by Wang, Leiguang, Dai, Qinling, Xu, Qizhi, Zhang, Yun

    “…Accurate interpretation of high spatial resolution multispectral (MS) imagery relies on the extraction and fusion of information obtained from both spectral…”
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    Journal Article
  14. 14

    Regional segmentaion of multispectral image using local texture/spectral joint histgram by Leiguang Wang, Chen Zheng, Qinling Dai

    “…We present a new method for segmentation of multispectral image. The method can be divided into three steps. Firstly, the image is partitioned into small…”
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    Conference Proceeding
  15. 15

    A High Spatial Resolution Remote Sensed Imagery Classification Algorithm Using Multiscale Morphological Profiles and SVM by Leiguang Wang, Qinling Dai, Zheng Chen

    “…The availability of high-resolution (HR) remote sensing multispectral imagery brings opportunities and challenges for land cover classification. The…”
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    Conference Proceeding
  16. 16

    A comparative study of pixel level and region level classification of land use types using QuickBird imagery by Leiguang Wang, Qinling Dai, Chen Zheng, Cancai Wang

    “…The availability of high-resolution (HR) remote sensing multispectral imagery brings opportunities and challenges for land cover/use classification…”
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    Conference Proceeding
  17. 17

    A PAN-SHARPENING METHOD BASED ON GUIDED IMAGE FILTERING: A CASE STUDY OVER GF-2 IMAGERY by Zheng, Y., Guo, M., Dai, Q., Wang, L.

    “…The GaoFen-2 satellite (GF-2) is a self-developed civil optical remote sensing satellite of China, which is also the first satellite with the resolution of…”
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    Journal Article
  18. 18

    Computer Simulation on Dynamic Response of Offset Inking System by Qinling Dai, Caiyin Wang, Yuanbo Huang, Leiguang Wang

    “…The dynamic response of offset inking system is one of the most important performance indices of inking system. In this paper, a dynamic response module is…”
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    Conference Proceeding
  19. 19

    Multiscale Feature Extraction Fusion Network for Semantic Segmentation of High-Resolution Remote Sensing Images by Chen, Nan, Yang, Ruiqi, Wang, Leiguang, Zhao, Yili, Dai, Qinling

    Published in 2023 China Automation Congress (CAC) (17-11-2023)
    “…In recent years, semantic segmentation of high-resolution remote sensing images has attracted much attention. However, the large size difference, complex…”
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    Conference Proceeding
  20. 20

    Build General Pansharpening Model Through a Simple Sensor-Specific Model Selection Strategy by Liu, Yu, Tong, Qingwei, Dai, Qinling, Zhao, Yili, Wang, Leiguang

    Published in 2023 China Automation Congress (CAC) (17-11-2023)
    “…Deep-learning-based pansharpening methods have become a hot field in the remote sensing community. However, most existing deep learning pansharpening methods…”
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    Conference Proceeding