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Automated Mapping of Drumlin Orientation using Object-oriented Approach
| Content Provider | Semantic Scholar |
|---|---|
| Author | Saha, Kakoli Munro-Stasiuk, Mandy J. |
| Copyright Year | 2013 |
| Abstract | Introduction The concept of object-based analysis as an alternative to pixel-based analysis emerged as early as the 1970s (De Kok, 1999). The early models of object-based image classification are limited by hardware, software, poor resolution of images, and qualitative interpretation. Since the mid-1990s, hardware capabilities have increased dramatically. The availability of images from high spatial resolution satellite sensors, with increased spectral variability within map-sized objects, has increased the demand for object-oriented techniques (De Kok, 1999). Basically, there are two steps in such classification segmentation and classification. Segmentation involves partitioning the image into contiguous groups of pixels, called object primitive segments (or primitives). Ideally, these segments correspond to the real world objects of interest (Hofmann et al., 2000). Once these are identified in the image, the second step commences with the classification of these objects based on its spectral, texture, shape, and contextual features. Eventually, the use of successfully segmented images leads to improved classification with higher accuracy when compared to pixel-based classification methods (Aplin et al., 1999; Carleer et al., 2004; Janssen et al., 1995). eCognition Developer V.8.7.2, is an image-analysis program from Trimble Germany GmbH, Munich, Germany. It can combine spectral as well as spatial information for each image object, thereby allowing great flexibility in the relatively complicated process of automated extraction of Indian Journal of Spatial Science EISSN: 2249 4316 ISSN: 2249 3921 |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://indiansss.org/pdf/pdfset-11/issueset-13/Article-1-IJSS4.2.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |
