The objective of this paper is to utilize the features obtained by the artificial neural network rather than the original multispectral features of remote-sensing images for land cover classification. WT provides the spatial and spectral characteristics of a pixel along with its neighbors and hence, this can be utilized for an improved classification. And the combination of remote sensing and geographic ancillary data is believed to offer improved accuracy in land cover classification. This paper focuses on the Image Analysis of Remote Sensing Data Integrating Spectral and Spatial Features of Objects in the area of satellite image processing. Here multi-spectral remote sensing data is used to find the spectral signature of different objects.

Remote sensing, Spectral wavelength, Multi-spectral images, ANN

[1]. Saroj K. Meher, B.Uma Shankar, and Ashish Ghosh, 2007, "Wavelet Feature Based Classifiers for Multispectral Remote-Sensing Images", Indian Statistical Institute, Kolkata, India.
[2]. Pai-Hui Hsu Yi-Hsing Tseng, 2002, ―Feature Extraction of Hyperspectral Data Using the Best Wavelet Packet Basis‖ IEEE Page(s):1667-1669.
[3]. B.Uma Shankar, Saroj K Meher and Ashish Ghosh, 2007, ―Neuro- Wavelet Classifier for Remote Sensing Image Classification‖, Proceedings of the International Conference on Computing: Theory and Applications (ICCTA), Indian Statistical Institute, India.
[4]. Yikuan Zhang, Ke Lu, and Ning He and Peng Zhang, 2007, "Research on Land Use/Cover Classification Based on RS and GIS", Second International Symposium on Plant Growth Modeling, Simulation, Visualization and Applications, China.
[5]. Yan Guo, Lishan Kang, Fujiang Liu, Huashan Sun and Linlu Mei, 2007, ―Evolutionary Neural Networks Applied to Land-cover Classification in Zhaoyuan, China‖ Proceedings of the 2007 IEEE Symposium on Computational Intelligence and Data Mining, Page(s): 499-503.
[6]. Yoshikazu Iikura, 2007, ―Landcover Classification of Satellite Imagery with Tesselated Spatial Structure Model‖ IEEE, Page(s):1463-1467.
[7]. Idan FELDBERG, Nathan S. NETANYAHU and Maxim SHOSHANY, 2002, ―A Neural Network-Based Technique for Change Detection of Linear Features and Its Application to a Mediterranean Region‖ IEEE Page(s):1195-1197. W.Zou, Z.Chi and K.C.Lo, 2008, ―Improvement of image classification using wavelet coefficients with structured based neural network‖, International Joint Conference on Neural Networks Sheraton Vancouver Wall Centre Hotel, Vancouver, BC, Canada.
[8]. Chih-Cheng Hung, Youngsup Kim and Tommy L. Coleman, 2010, ―A Comparative Study of Radial Basis Function Neural Networks and Wavelet Neural Networks in Classification of Remotely Sensed Data‖, U.S.A.
[9]. Xia Jun, Liu Jinmei, Wang Guoyu, and Li Jizhong, 2011, "The Classification of Land Cover Derived from High Resolution Remote Sensing Imagery".