Agriculture Parcel Boundary Detection from Remotely Sensed Images Ganesh Khadanga and Kamal Jain Abstract The object-based image analysis (OBIA) is extensively used nowadays for classification of high-resolution satellite images (HRSI). In OBIA, the anal- ysis is based on a group of pixels known as objects. It differs from the traditional pixels-based methodology, where individual pixels are analyzed. In OBIA, the image analysis consists of image segmentation, object attribution, and classification. The segmentation process thus identifies a group of pixels and are known as objects. These objects are taken for further analysis. Thus segmentation is an important step in OBIA. In order to find out the boundary of agriculture parcels, a two-step pro- cess is followed. First, the segmentation of the images is done using the statistical region merging (SRM) technique. Then the boundary information and center of the segmentation are found out using MATLAB. The best fit segment was found out using trial and errors. The extracted boundary information is very encouraging and it matches the parcel boundaries recorded in revenue registers. The completeness and precision analysis of the plots are also quite satisfactory. Keywords MATLAB · Segmentation · Cadastral parcel · OBIA · HRSI 1 Introduction The object-based image analysis (OBIA) is extensively used nowadays for classifica- tion of high-resolution satellite images (HRSI). In the traditional pixel-based analysis each pixel is taken into account and the classifications are done based on the spectral characteristics of the pixel. But in the object-based analysis, a group of objects is identified based on certain homogeneity condition [1]. This group of homogeneous pixels is known as an object. These objects were taken up for classification of the features in the image. Thus the OBIA analysis is based on this group of pixels. Dur- ing the classification stage the contextual relationship like neighborhood, spatial, and G. Khadanga (B ) · K. Jain Civil Engineering Department, Geomatics Group, Indian Institute of Technology Roorkee, Roorkee, India e-mail: ganesh@nic.in © Springer Nature Singapore Pte Ltd. 2020 B. B. Chaudhuri et al. (eds.), Proceedings of 3rd International Conference on Computer Vision and Image Processing, Advances in Intelligent Systems and Computing 1022, https://doi.org/10.1007/978-981-32-9088-4_26 307