A Novel Intelligent Classification Method for Urban Green Space Based on High-Resolution Remote Sensing Images
暂无分享,去创建一个
Zhiyu Xu | Feng Li | Shicheng Wang | Shixin Wang | Litao Wang | Zhenqing Wang | Yi Zhou | Shixin Wang | Yi Zhou | Litao Wang | Feng Li | Zhenqing Wang | Zhiyu Xu | Shicheng Wang | Shicheng Wang | Shixing Wang
[1] C. Portillo-Quintero,et al. Forest cover and deforestation patterns in the Northern Andes (Lake Maracaibo Basin): A synoptic assessment using MODIS and Landsat imagery , 2012 .
[2] P. Dwivedi,et al. Ecological benefits of urban forestry: The case of Kerwa Forest Area (KFA), Bhopal, India , 2009 .
[3] Roberto Cipolla,et al. SegNet: A Deep Convolutional Encoder-Decoder Architecture for Image Segmentation , 2015, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[4] Alexei I. Lyapustin,et al. Detecting Inter-Annual Variations in the Phenology of Evergreen Conifers Using Long-Term MODIS Vegetation Index Time Series , 2017, Remote. Sens..
[5] Pijush Samui,et al. Effectiveness assessment of Keras based deep learning with different robust optimization algorithms for shallow landslide susceptibility mapping at tropical area , 2020 .
[6] Ronghua Shang,et al. Densely Based Multi-Scale and Multi-Modal Fully Convolutional Networks for High-Resolution Remote-Sensing Image Semantic Segmentation , 2019, IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing.
[7] Damir Medak,et al. Machine learning methods for classification of the green infrastructure in city areas , 2019, ISPRS Int. J. Geo Inf..
[8] Cornelius Senf,et al. Mapping land cover in complex Mediterranean landscapes using Landsat: Improved classification accuracies from integrating multi-seasonal and synthetic imagery , 2015 .
[9] Edwin W. Pak,et al. An extended AVHRR 8‐km NDVI dataset compatible with MODIS and SPOT vegetation NDVI data , 2005 .
[10] Weiqi Zhou,et al. Quantifying spatiotemporal pattern of urban greenspace: new insights from high resolution data , 2015, Landscape Ecology.
[11] A. Huete,et al. Overview of the radiometric and biophysical performance of the MODIS vegetation indices , 2002 .
[12] Ming Yang,et al. 3D Convolutional Neural Networks for Human Action Recognition , 2010, IEEE Transactions on Pattern Analysis and Machine Intelligence.
[13] Joe R. McBride,et al. The urban forest in Beijing and its role in air pollution reduction , 2005 .
[14] Geoffrey E. Hinton,et al. ImageNet classification with deep convolutional neural networks , 2012, Commun. ACM.
[15] Yoshua Bengio,et al. Gradient-based learning applied to document recognition , 1998, Proc. IEEE.
[16] Menglong Yan,et al. Automatic Ship Detection in Remote Sensing Images from Google Earth of Complex Scenes Based on Multiscale Rotation Dense Feature Pyramid Networks , 2018, Remote. Sens..
[17] Wei Yuan,et al. Automatic Building Segmentation of Aerial Imagery Using Multi-Constraint Fully Convolutional Networks , 2018, Remote. Sens..
[18] Weiwei Sun,et al. Fully Convolutional Networks for Semantic Segmentation of Very High Resolution Remotely Sensed Images Combined With DSM , 2018, IEEE Geoscience and Remote Sensing Letters.
[19] Robert A Verheij,et al. Vitamin G: effects of green space on health, well-being, and social safety , 2006, BMC public health.
[20] Yan Peng,et al. An Improved GrabCut Method Based on a Visual Attention Model for Rare-Earth Ore Mining Area Recognition with High-Resolution Remote Sensing Images , 2019, Remote. Sens..
[21] Peerapon Vateekul,et al. Road Segmentation of Remotely-Sensed Images Using Deep Convolutional Neural Networks with Landscape Metrics and Conditional Random Fields , 2017, Remote. Sens..
[22] Weiqi Zhou,et al. Mapping vegetation functional types in urban areas with WorldView-2 imagery: integrating object-based classification with phenology. , 2018 .
[23] M. Bauer,et al. Land cover classification and change analysis of the Twin Cities (Minnesota) Metropolitan Area by multitemporal Landsat remote sensing , 2005 .
[24] P. Aspinall,et al. More green space is linked to less stress in deprived communities: Evidence from salivary cortisol patterns , 2012 .
[25] Matthew D. Miller. The impacts of Atlanta’s urban sprawl on forest cover and fragmentation , 2012 .
[26] C. Woodcock,et al. Monitoring land-use change in the Pearl River Delta using Landsat TM , 2002 .
[27] A. Huete. A soil-adjusted vegetation index (SAVI) , 1988 .