State of the art in high density image matching

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Aerial photography collected with a multirotor drone reveals impact of Eurasian beaver reintroduction on ecosystem structure1 (2015, background): “0.4; http://www.agisoft.com/); PhotoScan is described further in Verhoeven (2011), Remondino et al. (2014), and Kaiser et al. (2014).”
Multisource and Multitemporal Data Fusion in Remote Sensing: A Comprehensive Review of the State of the Art (2019, methodology): “Sensors and methods to derive point clouds include predominantly lidar and photogrammetry, respectively [105].”
Comparing ALS and Image-Based Point Cloud Metrics and Modelled Forest Inventory Attributes in a Complex Coastal Forest Environment (2015, neutral): “, [13,14]).”
Evaluating Multispectral Images and Vegetation Indices for Precision Farming Applications from UAV Images (2015, methodology): “Each dataset was processed using a photogrammetric pipeline based on camera calibration [36] and image orientation (bundle adjustment), dense point cloud extraction [37], and orthophoto production.”