The International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences

By Isprs Journal, Geo-Info Photogrammetry. 1982

How researchers see this paper

The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.

Point cloud labeling using 3D Convolutional Neural Network (2016, methodology): “PCA analysis and the dimensionality feature based on it have been applied in point-level classification tasks [6], [3].”
Implementation of artificial intelligence in agriculture for optimisation of irrigation and application of pesticides and herbicides (2020, unknown): “Sonaa et al. (2016) showed UAV multi spectral overview to guide soil and harvest for exactnesscultivatingapplications.”
A comprehensive review of earthquake-induced building damage detection with remote sensing techniques (2013, methodology): “Using post-event panchromatic aerial imagery, Sumer and Turker (2006) proposed a building damage detection method based on gray-value and gradient orientation of the buildings and developed a corresponding building damage detection system.”
Use of vegetation index and meteorological parameters for the prediction of crop yield in India (2007, unknown): “…as neural networks (Stoikos 1995), autoregressive state space models (Wendroth et al. 2003), least square regressions (Jones 1982), exponential-linear crop growth algorithms (Oroda 2001) and numerical crop yield models (Hayes et al. 1982) have been used to predict crop yield with moderate success.”