ISPRS Annals of the Photogrammetry, Remote Sensing and Spatial Information Sciences
Publications Copernicus
Articles | Volume II-8
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-8, 101–105, 2014
ISPRS Ann. Photogramm. Remote Sens. Spatial Inf. Sci., II-8, 101–105, 2014

  27 Nov 2014

27 Nov 2014

Comparison of LSS-IV and LISS-III+LISS-IV merged data for classification of crops

R. Hebbar1 and M. V. R. Sesha Sai2 R. Hebbar and M. V. R. Sesha Sai
  • 1Regional Remote Sensing Centre -South, NRSC/ISRO, Marathahalli, Bengaluru 560037, India
  • 2National Remote Sensing Centre, ISRO, Balanagar, Hyderabad 500037, India

Keywords: Resourcesat-1, data fusion, quality parameters, classification, accuracy, crops

Abstract. Resourcesat-1 satellite with its unique capability of simultaneous acquisition of multispectral images at different spatial resolutions (AWiFS, LISS-III and LISS-IV MX / Mono) has immense potential for crop inventory. The present study was carried for selection of suitable LISS-IV MX band for data fusion and its evaluation for delineation different crops in a multi-cropped area. Image fusion techniques namely intensity hue saturation (IHS), principal component analysis (PCA), brovey, high pass filter (HPF) and wavelet methods were used for merging LISS-III and LISS-IV Mono data. The merged products were evaluated visually and through universal image quality index, ERGAS and classification accuracy. The study revealed that red band of LISS-IV MX data was found to be optimal band for merging with LISS-III data in terms of maintaining both spectral and spatial information and thus, closely matching with multispectral LISS-IVMX data. Among the five data fusion techniques, wavelet method was found to be superior in retaining image quality and higher classification accuracy compared to commonly used methods of IHS, PCA and Brovey. The study indicated that LISS-IV data in mono mode with wider swath of 70 km could be exploited in place of 24km LISS-IVMX data by selection of appropriate fusion techniques by acquiring monochromatic data in the red band.