A Framework for Delineation of Trees
Sri Harsha Rompicharla1, Sree Vijaya Lakshmi Kothapalli2, Suvarna Vani Koneru3
1Sri Harsha Rompicharla, Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India.
2Sree Vijayalakshmi Kothapalli, Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India.
3Suvarna Vani Koneru, Department of Computer Science and Engineering, Velagapudi Ramakrishna Siddhartha Engineering College, Vijayawada, India.
Manuscript received on 01 April 2019 | Revised Manuscript received on 07 May 2019 | Manuscript published on 30 May 2019 | PP: 2735-2739 | Volume-8 Issue-1, May 2019 | Retrieval Number: A1374058119/19©BEIESP
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: A Framework for Delineation of Trees is used to detect the trees of the urban area and it is a desirable framework in urban are management. Delineation and detection of trees from satellite images is important for the estimation of the trees of the urban and rural area. In existing literature, most of the studies only deal with particular tree crown or tree species detection. There is no particular framework for detecting major tree species of urban area collectively from visually distinguishable satellite images and also there is a major problem of distinguishing trees from their shadows. In this framework simple texture features were extracted from the panchromatic images, texture-based feature extraction methods were used and new algorithms were proposed in our methodology. In this, the methodology consists of three phases. In the first phase of our methodology, the input images will be pre-processed to suppress unwanted distortions like shadows and dark spots etc. and enhance the image quality. Then in the second phase, the image segmentation is performed on the enhanced image and to detect objects and boundaries. Finally, in the third phase, a framework for delineation of trees was done using image enhancement and segmentation algorithms. The ultimate purpose that the knowledge obtained from the study is to developing a framework that can process shadows and then effectively detect and extract trees from satellite images.
Index Terms: Image Processing, Haralick Feature, Panchromatic Images, Texture Features.
Scope of the Article: Image Processing and Pattern Recognition