Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning
出版年份 2019 全文链接
标题
Urban Tree Species Classification Using a WorldView-2/3 and LiDAR Data Fusion Approach and Deep Learning
作者
关键词
-
出版物
SENSORS
Volume 19, Issue 6, Pages 1284
出版商
MDPI AG
发表日期
2019-03-15
DOI
10.3390/s19061284
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- UAV-Based High Resolution Thermal Imaging for Vegetation Monitoring, and Plant Phenotyping Using ICI 8640 P, FLIR Vue Pro R 640, and thermoMap Cameras
- (2019) Vasit Sagan et al. Remote Sensing
- A comparative study of fine-tuning deep learning models for plant disease identification
- (2018) Edna Chebet Too et al. COMPUTERS AND ELECTRONICS IN AGRICULTURE
- Progressively Expanded Neural Network (PEN Net) for hyperspectral image classification: A new neural network paradigm for remote sensing image analysis
- (2018) Paheding Sidike et al. ISPRS JOURNAL OF PHOTOGRAMMETRY AND REMOTE SENSING
- dPEN: deep Progressively Expanded Network for mapping heterogeneous agricultural landscape using WorldView-3 satellite imagery
- (2018) Paheding Sidike et al. REMOTE SENSING OF ENVIRONMENT
- Tree Classification in Complex Forest Point Clouds Based on Deep Learning
- (2017) Xinhuai Zou et al. IEEE Geoscience and Remote Sensing Letters
- Mapping urban tree species using integrated airborne hyperspectral and LiDAR remote sensing data
- (2017) Luxia Liu et al. REMOTE SENSING OF ENVIRONMENT
- Canopy Height Model (CHM) Derived From a TanDEM-X InSAR DSM and an Airborne Lidar DTM in Boreal Forest
- (2016) Yaser Sadeghi et al. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
- Deep Learning Based Oil Palm Tree Detection and Counting for High-Resolution Remote Sensing Images
- (2016) Weijia Li et al. Remote Sensing
- Deep Learning for Remote Sensing Data: A Technical Tutorial on the State of the Art
- (2016) Liangpei Zhang et al. IEEE Geoscience and Remote Sensing Magazine
- Deep Learning Based Feature Selection for Remote Sensing Scene Classification
- (2015) Qin Zou et al. IEEE Geoscience and Remote Sensing Letters
- Assessing the utility WorldView-2 imagery for tree species mapping in South African subtropical humid forest and the conservation implications: Dukuduku forest patch as case study
- (2015) Moses Azong Cho et al. International Journal of Applied Earth Observation and Geoinformation
- Automatic Conversion of DSM to DTM by Classification Techniques Using Multi-date Stereo Data from Cartosat-1
- (2015) M. Sreedhar et al. Journal of the Indian Society of Remote Sensing
- Object-Based Urban Tree Species Classification Using Bi-Temporal WorldView-2 and WorldView-3 Images
- (2015) Dan Li et al. Remote Sensing
- Urban tree species mapping using hyperspectral and lidar data fusion
- (2014) Michael Alonzo et al. REMOTE SENSING OF ENVIRONMENT
- Coastline extraction using high resolution WorldView-2 satellite imagery
- (2014) Pasquale Maglione et al. European Journal of Remote Sensing
- High Spatial Resolution WorldView-2 Imagery for Mapping NDVI and Its Relationship to Temporal Urban Landscape Evapotranspiration Factors
- (2014) Hamideh Nouri et al. Remote Sensing
- Evaluating the Potential of WorldView-2 Data to Classify Tree Species and Different Levels of Ash Mortality
- (2014) Lars Waser et al. Remote Sensing
- Shadow Detection and Reconstruction in High-Resolution Satellite Images via Morphological Filtering and Example-Based Learning
- (2013) Huihui Song et al. IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
- Influence of Vegetation Structure on Lidar-derived Canopy Height and Fractional Cover in Forested Riparian Buffers During Leaf-Off and Leaf-On Conditions
- (2013) Leah Wasser et al. PLoS One
- Delineating Individual Trees from Lidar Data: A Comparison of Vector- and Raster-based Segmentation Approaches
- (2013) Marek Jakubowski et al. Remote Sensing
- Near-infrared imagery from unmanned aerial systems and satellites can be used to specify fertilizer application rates in tree crops
- (2012) L. Felderhof et al. CANADIAN JOURNAL OF REMOTE SENSING
- A comparative analysis of high spatial resolution IKONOS and WorldView-2 imagery for mapping urban tree species
- (2012) Ruiliang Pu et al. REMOTE SENSING OF ENVIRONMENT
- Mapping tree species composition in South African savannas using an integrated airborne spectral and LiDAR system
- (2012) Moses Azong Cho et al. REMOTE SENSING OF ENVIRONMENT
- Tree species classification in the Southern Alps based on the fusion of very high geometrical resolution multispectral/hyperspectral images and LiDAR data
- (2012) Michele Dalponte et al. REMOTE SENSING OF ENVIRONMENT
- Tree Species Classification with Random Forest Using Very High Spatial Resolution 8-Band WorldView-2 Satellite Data
- (2012) Markus Immitzer et al. Remote Sensing
- Broadband, red-edge information from satellites improves early stress detection in a New Mexico conifer woodland
- (2011) Jan U.H. Eitel et al. REMOTE SENSING OF ENVIRONMENT
- Measuring and predicting canopy nitrogen nutrition in wheat using a spectral index—The canopy chlorophyll content index (CCCI)
- (2010) Glenn Fitzgerald et al. FIELD CROPS RESEARCH
- Assessing the utility of airborne hyperspectral and LiDAR data for species distribution mapping in the coastal Pacific Northwest, Canada
- (2010) Trevor G. Jones et al. REMOTE SENSING OF ENVIRONMENT
- Multi-source land cover classification for forest fire management based on imaging spectrometry and LiDAR data
- (2008) B. Koetz et al. FOREST ECOLOGY AND MANAGEMENT
- Comparative Analysis of EO-1 ALI and Hyperion, and Landsat ETM+ Data for Mapping Forest Crown Closure and Leaf Area Index
- (2008) Ruiliang Pu et al. SENSORS
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