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This book gives a comprehensive view of the developed procrustes models, including the isotropic, the generalized and the anisotropic variants. These represent original tools to perform, among others, the bundle block adjustment and the global registration of multiple 3D LiDAR point clouds. Moreover, the book also reports the recently derived total least squares solution of the anisotropic Procrustes model, together with its practical application in solving the exterior orientation of one image. The book is aimed at all those interested in discovering valuable innovative algorithms for solving various photogrammetric computer vision problems. In this context, where functional models are non-linear, Procrustean methods prove to be powerful since they do not require any linearization nor approximated values of the unknown parameters, furnishing at the same time results comparable in terms of accuracy with those given by the state-of-the-art methods.
Photogrammetry --- Digital techniques. --- Digital photogrammetric systems --- Digital photogrammetry --- DP (Digital photogrammetry) --- DPS (Digital photogrammetric systems) --- Digital electronics --- Computer vision. --- Remote Sensing/Photogrammetry. --- Image Processing and Computer Vision. --- Machine vision --- Vision, Computer --- Artificial intelligence --- Image processing --- Pattern recognition systems --- Remote sensing. --- Optical data processing. --- Optical computing --- Visual data processing --- Bionics --- Electronic data processing --- Integrated optics --- Photonics --- Computers --- Remote-sensing imagery --- Remote sensing systems --- Remote terrain sensing --- Sensing, Remote --- Terrain sensing, Remote --- Aerial photogrammetry --- Aerospace telemetry --- Detectors --- Space optics --- Optical equipment --- Geographic information systems. --- Geographical Information System. --- Computer Vision. --- Geographical information systems --- GIS (Information systems) --- Information storage and retrieval systems --- Geography
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Dear Colleagues, The composition, structure and function of forest ecosystems are the key features characterizing their ecological properties, and can thus be crucially shaped and changed by various biotic and abiotic factors on multiple spatial scales. The magnitude and extent of these changes in recent decades calls for enhanced mitigation and adaption measures. Remote sensing data and methods are the main complementary sources of up-to-date synoptic and objective information of forest ecology. Due to the inherent 3D nature of forest ecosystems, the analysis of 3D sources of remote sensing data is considered to be most appropriate for recreating the forest’s compositional, structural and functional dynamics. In this Special Issue of Forests, we published a set of state-of-the-art scientific works including experimental studies, methodological developments and model validations, all dealing with the general topic of 3D remote sensing-assisted applications in forest ecology. We showed applications in forest ecology from a broad collection of method and sensor combinations, including fusion schemes. All in all, the studies and their focuses are as broad as a forest’s ecology or the field of remote sensing and, thus, reflect the very diverse usages and directions toward which future research and practice will be directed.
normalized difference vegetation index (NDVI) --- SRTMGL1 --- SPOT-6 --- urban ecology --- terrestrial laser scanner --- Lantana camara --- terrestrial laser scanning --- harvester --- product recovery --- imputation --- optimization --- multi-spectral --- function --- ZiYuan-3 stereo images --- spatial noise --- 3D remote sensing --- tree measurement --- diameter at breast height (DBH) --- DSM --- metabolic scale theory --- municipal forestry --- digital photogrammetry --- Norway spruce --- missing observations --- interrater agreement --- measurement error --- stump height --- Fractional cover analysis --- google earth engine --- high-voltage power transmission lines --- habitat fragmentation --- codispersion coefficient --- forest fire --- tree height --- nu SVR --- RapidEye --- uneven-aged mountainous --- random Hough transform --- kriging --- street trees --- ground validation --- Google Street View --- laser --- species identification --- composition --- maximum forest heights --- mountainous areas --- landscape fragmentation --- Landsat 8 --- forest canopy height --- allometric scaling and resource limitation model --- urban forestry --- point cloud --- GSV --- stump diameter --- structure --- 3D --- codispersion map --- forest ecology --- polarimetery --- crowdsourced data
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