Thematic map comparison
GM Foody - Photogrammetric Engineering & Remote Sensing, 2004 - ingentaconnect.com
The accuracy of thematic maps derived by image classification analyses is often compared
in remote sensing studies. This comparison is typically achieved by a basic subjective …
in remote sensing studies. This comparison is typically achieved by a basic subjective …
Random Forest classification of Mediterranean land cover using multi-seasonal imagery and multi-seasonal texture
A Random Forest (RF) classifier was applied to spectral as well as mono-and multi-seasonal
textural features extracted from Landsat TM imagery to increase the accuracy of land cover …
textural features extracted from Landsat TM imagery to increase the accuracy of land cover …
Map** land-cover modifications over large areas: A comparison of machine learning algorithms
Large area land-cover monitoring scenarios, involving large volumes of data, are becoming
more prevalent in remote sensing applications. Thus, there is a pressing need for increased …
more prevalent in remote sensing applications. Thus, there is a pressing need for increased …
The role of environmental context in map** invasive plants with hyperspectral image data
Lepidium latifolium (perennial pepperweed) is a noxious Eurasian weed invading riparian
and wetland areas of the western US. Effective management of Lepidium requires detailed …
and wetland areas of the western US. Effective management of Lepidium requires detailed …
Optical and SAR sensor synergies for forest and land cover map** in a tropical site in West Africa
The classification of tropical fragmented landscapes and moist forested areas is a challenge
due to the presence of a continuum of vegetation successional stages, persistent cloud …
due to the presence of a continuum of vegetation successional stages, persistent cloud …
Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: scale, texture and image objects
This study used geographic object-based image analysis (GEOBIA) with very high spatial
resolution (VHR) aerial imagery (0.3 m spatial resolution) to classify vegetation, channel and …
resolution (VHR) aerial imagery (0.3 m spatial resolution) to classify vegetation, channel and …
Enhanced land use/cover classification of heterogeneous tropical landscapes using support vector machines and textural homogeneity
Land use/cover classification is a key research field in remote sensing and land change
science as thematic maps derived from remotely sensed data have become the basis for …
science as thematic maps derived from remotely sensed data have become the basis for …
Assessing machine-learning algorithms and image-and lidar-derived variables for GEOBIA classification of mining and mine reclamation
This study investigates machine-learning algorithms and measures derived from RapidEye
satellite imagery and light detection and ranging (lidar) data for geographic object-based …
satellite imagery and light detection and ranging (lidar) data for geographic object-based …
Land cover change analysis of a Mediterranean area in Spain using different sources of data: Multi-seasonal Landsat images, land surface temperature, digital terrain …
The main objective of this study was to apply a method for the map** and analysis of land
cover changes in a Mediterranean area in southern Spain (Granada Province). The province …
cover changes in a Mediterranean area in southern Spain (Granada Province). The province …
Optimal segmentation scale selection and evaluation of cultivated land objects based on high-resolution remote sensing images with spectral and texture features
As the remote sensing technology develops, there are increasingly more kinds of remote
sensing images available from different sensors. High-resolution remote sensing images are …
sensing images available from different sensors. High-resolution remote sensing images are …