Books & Book Chapters

Books & Book Chapters Published

Authored / Edited (06) Books and (23) Book Chapters

Sl. Title of the book Name of the publisher Institutions where referred for study
01 Computer Communication and Security Renuka Prakashan, Aurangabad Dr. B. A. M. University
02 Advanced in Computer Vision and Information Technology I. K. International Pvt. Ltd, New Delhi Research reference at Dr. B. A. M. University
03 Computer Vision and Information Technology: Advances and Applications I. K. International Pvt. Ltd, New Delhi Research reference at Dr. B. A. M. University
04 Understanding MATLAB Shroff Pub & Dist. Pvt. Ltd, Mumbai Solapur University, Solapur
05 Face Recognition Using Principal Component Analysis LAP Lambert Academic Publishing Research reference at Dr. B. A. M. University & other Universities
06 Iris Image Feature Extraction using Multiwavelet Approach LAP Lambert Academic Publishing Research reference at Dr. B. A. M. University & other Universities

 

Book Chapters:

  1. Parminder Kaur Birdi, Karbhari Kale, Varsha Ajith (2021).Spatial Data Mining of Agricultural Land Area Using Multi-spectral Remote-Sensed Images, In Data Intelligence and Cognitive Informatics, (PP 457-469), Springer, Singapore
  2. Shende, K. V., Kumar, M. R., & Kale, K. V. (2020). Comparison of Neural Network Training Functions for Prediction of Outgoing Longwave Radiation over the Bay of Bengal. In Computing in Engineering and Technology (pp. 411-419). Springer, Singapore.
  3. V. Kale, MM Solankar, DB Nalawade (2019) Hyperspectral Endmember Extraction Techniques. In: Processing and Analysis of Hyperspectral Data, DOI: 10.5772/intechopen.78179, ISBN: 978-1- 78985-110-6.
  4. Nagne, A. D., Vibhute, A. D., Dhumal, R. K., Kale, K. V., & Mehrotra, S. C. (2019). Urban LULC Change Detection and Mapping Spatial Variations of Aurangabad City Using IRS LISS-III Temporal Datasets and Supervised Classification Approach. In Data Analytics and Learning (pp. 369-386). Springer, Singapore.
  5. Surase, R. R., Kale, K. V., Varpe, A. B., Vibhute, A. D., Gite, H. R., Solankar, M. M., & Nalawade,
  6. B. (2019). Assessment of EO-1 Hyperion Imagery for Crop Discrimination Using Spectral Analysis. In Microelectronics, Electromagnetics and Telecommunications (pp. 505-515). Springer, Singapore.
  7. Gaikwad, S. V., Vibhute, A. D., Kale, K. V., Dhumal, R. K., Nagne, A. D., Mehrotra, S. C., & Surase,
  8. R. (2019). Drought Severity Identification and Classification of the Land Pattern Using Landsat

Data Based on Spectral Indices and Maximum Likelihood Algorithm. In Microelectronics, Electromagnetics and Telecommunications (pp. 517-524). Springer, Singapore.

  1. Birdi, P. K., & Kale, K. V. (2019). Accuracy Assessment of Classification on Landsat-8 Data for Land Cover and Land Use of an Urban Area by Applying Different Image Fusion Techniques and Varying Training Samples. In Microelectronics, Electromagnetics and Telecommunications (pp. 189-198). Springer, Singapore.
  2. Dhumal, R. K., Vibhute, A. D., Nagne, A. D., Solankar, M. M., Gaikwad, S. V., Kale, K. V., & Mehrotra, S. C. (2019). A Spatial and Spectral Feature Based Approach for Classification of Crops Using Techniques Based on GLCM and SVM. In Microelectronics, Electromagnetics and Telecommunications (pp. 45-53). Springer, Singapore.
  3. Gite, H. R., Solankar, M. M., Surase, R. R., & Kale, K. V. (2018, December). Comparative Study and Analysis of Dimensionality Reduction Techniques for Hyperspectral Data. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 534-546). Springer, Singapore.
  4. Nalawade, D. B., Solankar, M. M., Surase, R. R., Varpe, A. B., Vibhute, A. D., Dhumal, R. K., & Kale, K. (2018, December). Hyperspectral Remote Sensing Image Analysis with SMACC and PPI Algorithms for Endmember Extraction. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 319-328). Springer, Singapore.
  5. Vibhute, A. D., Gaikwad, S. V., Dhumal, R. K., Nagne, A. D., Varpe, A. B., Nalawade, D. B., & Mehrotra, S. C. (2018, December). Hyperspectral and Multispectral Remote Sensing Data Fusion for Classification of Complex-Mixed Land Features Using SVM. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 345-362). Springer, Singapore.
  6. Varpe, A. B., Surase, R. R., Vibhute, A. D., Nalawade, D. B., & Kale, K. V. (2018, December). Role of Lens Position and Illumination Source for Acquiring Non-imaging Hyperspectral Data to Estimate Biophysical Characteristics of Leaves. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 391-396). Springer, Singapore.
  7. Gaikwad, S. V., Vibhute, A. D., Kale, K. V., Nalawade, D. B., & Jadhav, M. B. (2018, December). Design and Development of Ground Truth Collection Platform Using Android and Leaflet Library. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 520- 528). Springer, Singapore.
  8. Surase, R. R., Kale, K. V., Solankar, M. M., Varpe, A. B., Gite, H. R., & Vibhute, A. D. (2018, December). Crop Discrimination Based on Reflectance Spectroscopy Using Spectral Vegetation Indices (SVI). In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 312-322). Springer, Singapore.
  9. Solankar, M. M., Gite, H. R., Surase, R. R., Nalawade, D. B., & Kale, K. V. (2018, December). Impact of Dimensionality Reduction Techniques on Endmember Identification in Hyperspectral Imagery. In International Conference on Recent Trends in Image Processing and Pattern Recognition (pp. 493-504). Springer, Singapore.
  10. Dhumal R.K., Vibhute A.D., Nagne A.D., Kale K.V., Mehrotra S.C. (2017). Performance Analysis of Spectral Features Based on Narrowband Vegetation Indices for Cotton and Maize Crops by EO-1 Hyperion Dataset. In: Behera H (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, pp 581-590, vol 556. Springer, Singapore, DOI: 10.1007/978- 981-10-3874-7_55, ISBN 978-981-10-3874-7
  11. Nagne A.D., Dhumal R., Vibhute A., Kale K.V., Mehrotra S.C. (2017) Comparative Analysis of Different Land Use–Land Cover Classifiers on Remote Sensing LISS-III Sensors Dataset. In: Behera H., Mohapatra D. (eds) Computational Intelligence in Data Mining. Advances in Intelligent Systems and Computing, pp 523-532,vol 556. Springer, Singapore, DOI: 10.1007/978-981-10-3874-7_49, ISBN 978-981-10-3874-7
  12. Nazneen Akhter, Sumegh Tharewal, Vijay Kale, Ashish Bhalerao, K. V. Kale, (2016). Heart-Based Biometrics and Possible Use of Heart Rate Variability in Biometric Recognition Systems. Advances in Intelligent Systems and Computing , Volume 1, 15-29, Chaki, R., Cortesi, A., Saeed, K., Chaki,
  13. (Eds.), Springer Advanced Computing and Systems for Security, DOI 10.1007/978-81-322-2650- 5_2, Print ISBN 978-81-322-2648-2, Online ISBN 978-81-322-2650-5
  14. Shaikh, H. Gite, R. R. Manza, K. V Kale, and N. Akhter. (2016). Segmentation of Thermal Images Using Thresholding-Based Methods for Detection of Malignant Tumours. Intelligent Systems Technologies and Applications 2016, M. J. Corchado Rodriguez, S. Mitra, M. S. Thampi, and E.-S. El-Alfy, Eds. Cham: Springer International Publishing, pp. 131–146.
  15. Akhter, N., Tharewal, S., Kale, V., Bhalerao, A., & Kale, K. V. (2016). Heart-based biometrics and possible use of heart rate variability in biometric recognition systems. In Advanced Computing and Systems for Security (pp. 15-29). Springer, New Delhi.
  16. Vibhute, A. D., Dhumal, R. K., Nagne, A. D., Rajendra, Y. D., Kale, K. V., & Mehrotra, S. C. (2016). Analysis, classification, and estimation of pattern for land of Aurangabad region using high- resolution satellite image. In Proceedings of the Second International Conference on Computer and Communication Technologies (pp. 413-427). Springer, New Delhi.
  17. N Akhter, H Gite, G Rabbani, K Kale. (2015). Heart Rate Variability for Biometric Authentication Using Time-Domain Features. In Security in Computing and Communications, Vol. 536, pp. 168– 175, Abawajy, J.H., S., Thampi, S.M., Ruiz-Martínez, A. (Eds.) Springer CCIS 7899, ISBN 978-3- 319-22914-0, Springer, Berlin, Germany, 2015.