Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery: Segmentation Quality and Image Classification Issues
@article{Kim2009ForestTM, title={Forest Type Mapping using Object-specific Texture Measures from Multispectral Ikonos Imagery: Segmentation Quality and Image Classification Issues}, author={Minho Kim and Marguerite Madden and Timothy A. Warner}, journal={Photogrammetric Engineering and Remote Sensing}, year={2009}, volume={75}, pages={819-829} }
This study investigated the use of a geographic object-based image analysis (GEOBIA) approach with the incorporation of object-specific grey-level co-occurrence matrix (GLCM) texture measures from a multispectral Ikonos image for delineation of deciduous, evergreen, and mixed forest types in Guilford Courthouse National Military Park, North Carolina. A series of automated segmentations was produced at a range of scales, each resulting in an associated range of number and size of objects (or…
Figures and Tables from this paper
185 Citations
Evaluation of object-based image analysis techniques on very high-resolution satellite image for biomass estimation in a watershed of hilly forest of Nepal
- Environmental Science
- 2014
Methods of forest carbon estimation using remote-sensing data and techniques are evolving within a short timeframe as compared to traditional forest inventory methods. Object-based image analysis…
Parameter-Based Performance Analysis of Object-Based Image Analysis Using Aerial and Quikbird-2 Images
- Mathematics, Environmental Science
- 2014
Effectiveness and applicability of the segmentation method in relation to its parameters was analysed and compactness parameter was found to be having minimal effect on the construction of image objects, hence it can be set to a constant value in image classification.
Supervised methods of image segmentation accuracy assessment in land cover mapping
- Environmental Science, Mathematics
- 2018
Object-oriented and pixel-based classification approaches to classify tropical successional stages using airborne high–spatial resolution images
- Environmental Science, Mathematics
- 2016
Airborne high–spatial resolution images were evaluated for mapping purposes in a complex Atlantic rainforest environment in southern Brazil. Two study sites, covered predominantly by secondary…
A spatialized classification approach for land cover mapping using hyperspatial imagery
- Environmental Science, MathematicsRemote Sensing of Environment
- 2019
Forest structure estimates with GEOBIA and multi-scale optical sensors
- Environmental ScienceRemote Sensing
- 2013
The GEOBIA (GEOgraphic Object-Based Image Analysis) approach persists to reveal its effectiveness in remote sensing data analysis, which provides paradigms that integrate analyst’s expert knowledge…
Classifying a high resolution image of an urban area using super-object information
- Environmental Science, Mathematics
- 2013
Multi-scale GEOBIA with very high spatial resolution digital aerial imagery: scale, texture and image objects
- Environmental Science, Mathematics
- 2011
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 bare mud classes…
Semantic segmentation of forest stands of pure species combining airborne lidar data and very high resolution multispectral imagery
- Environmental Science, Mathematics
- 2017
Object based technique for delineating and mapping 15 tree species using VHR WorldView-2 imagery
- Environmental Science, MathematicsRemote Sensing
- 2014
Monitoring and analyzing forests and trees are required task to manage and establish a good plan for the forest sustainability. To achieve such a task, information and data collection of the trees…
References
SHOWING 1-10 OF 72 REFERENCES
Estimation of optimal image object size for the segmentation of forest stands with multispectral IKONOS imagery
- Environmental Science, Mathematics
- 2008
This research employs local variance and spatial autocorrelation to estimate the optimal size of image objects for segmenting forest stands to investigate how between-object correlation changes with segmentation scale in terms of over-, optimal, and under-segmentation.
Object-based Detailed Vegetation Classification with Airborne High Spatial Resolution Remote Sensing Imagery
- Environmental Science, Mathematics
- 2006
In this paper, we evaluate the capability of the high spatial resolution airborne Digital Airborne Imaging System (DAIS) imagery for detailed vegetation classification at the alliance level with the…
Combining Spectral and Texture Data in the Segmentation of Remotely Sensed Images
- Environmental Science, Mathematics
- 1996
Image segmentation is a method of defining discrete objects or classes of objects in images. Addition of n spatial attxibute, i.e., image texture, improves the segmentation process in most areas…
Integration of object-based and pixel-based classification for mapping mangroves with IKONOS imagery
- Environmental Science, Mathematics
- 2004
A new method was developed to choose the optimal scale parameter with the aid of Bhattacharya Distance (BD), a well-known index of class separability in traditional pixel-based classification, to determine an optimal scale at which the segmented objects have the potential to achieve the best classification accuracy.
Object-based contextual image classification built on image segmentation
- Environmental Science, Computer ScienceIEEE Workshop on Advances in Techniques for Analysis of Remotely Sensed Data, 2003
- 2003
This paper builds on a discussion of different approaches to image segmentation techniques and demonstrates through several applications how segmentation and object-based methods improve on pixel-based image analysis/classification methods.
Incorporating texture into classification of forest species composition from airborne multispectral images
- Environmental Science, Mathematics
- 2000
Although research with digital airborne remote sensing data has been undertaken in different ecoregions to classify forested areas, the potential role of such imagery in deriving information to…
An object-specific image-texture analysis of H-resolution forest imagery☆
- Mathematics, Environmental Science
- 1996
Using spatial Co-occurrence texture to increase forest structure and species composition classification accuracy
- Environmental Science
- 2001
should be augmented with texture measures (St-Onge and The analysis of forest structure and species composition with Cavayas, 1995). Texture can be used in the classification or, high spatial…
Comparison of IKONOS and QuickBird images for mapping mangrove species on the Caribbean coast of Panama
- Environmental Science, Mathematics
- 2004
The Importance of Scale in Object-based Mapping of Vegetation Parameters with Hyperspectral Imagery
- Environmental Science
- 2007
In recent years, object-oriented image analysis has been widely adopted by the remote sensing community. Much attention has been given to its application, while the fundamental issue of scale, here…