New Delhi, India: Hyperspectral imagery is the most effective surveillance tool for border management, concluded stalwarts during the session, Surveillance Technologies for Border Management, during Geopintelligence Asia 2011 in New Delhi, India. Dr. M K Munshi, Chair – Open Geospatial Consortium (OGC) India Forum chaired the session.
Opening the session, Maj. Gen TM Mhaisale, VSM, Cdr HQ Technical Group EME, Indian Army said that hyperspectral imagery covers entire electromagnetic spectrum. According to Maj. Gen. Mhaisale, the best characteristic of the imagery is its detection capability of objects’ chemical properties. It enables creation of 3D images and can detect low contrast targets. He presented various examples to demonstrate how effectively auto target recognition is possible using spectral finger prints.
Maj. Gen. Mhaisale also talked about ‘Virtual Fence’ which is a combination of multiple sensors. It provides comprehensive coverage of land, shoreline and airspace. He explained ‘TrueSentry Border Surveillance’. It is a C4ISR system. It is based on incident management life-cycle. Maj. Gen. Mhaisale observed that cloud services for sensor grid holds enormous potential which is yet to be exploited.
“There are approximately 158 countries in the world that are dealing with border disputes,” with these words Col A K S Singh (Retd), Vice President, Scanpoint Geomatics Ltd. India, highlighted how crucial and ubiquitous is the border issue. He observed that after 26/11 (Mumbai terror attack) Government of India realised that how vulnerable is India’s 7516.6km long coastal border. He also realised that hi-tech surveillance system is not available at the battalion level. In addition, Col Singh elaborated functionality of Scanpoint’s IGIS software. He demonstrated how effective is this software for network analysis, viewshed analysis, tracking analysis, 3D modelling and coastal security.
Col. Rajnish Bhatia, Regional Manager – GXP, BAE System, India, also expressed immense faith in the ability of hyperspectral imagery. In addition, he explained how effective is BAE System’s GXP series products like SOCET GXP and GXP Xplorer.
During the session, Combat Identification – Increasing Combat Effectiveness, Gp Capt K P Gowd, Director, Indian Air Force, proposed a constellation of LEO geo-stationary satellites, an aero space-based platform for target recognition almost in near real time..
According to Gp Capt Gowd, the proposed constellation will have a mixture of optical, SAR and IR payload to achieve 24X7surveillance capability in all weather conditions. These satellites will have the on board capability to identify and recognise the target as soon it is imaged and detected. This will be attained by configuring the satellite to have an onboard/ground based data processing capability.
Earlier, the chairperson, AVM BS Dhanoa, YSM, VM; ACAS (Intelligence), Air Headquarters, Indian Air Force, opined that there are four phase of target identification: detection, recognition, identification and detailed analysis. In continuity, Col Sanjay Srivastava, Director, ADC & RS, DGIS, Indian Army, talked about causes, effects and trends of fratricide. He said that act of attacking is a multistep process which includes: detection, classification, identification and decision to engage. He added, “Fratricide has a greater cost than the direct combat loss of the forces due to enemy action. Most fratricides are errors that could have been avoided if geointelligence had been available at any one of these steps.”
Lt. Col. (Retd) Offir Dor, Elbit Systems, Israel, demonstrated how effective can be the geointelligence solutions when live video is embedded with geospatial data. This is what Elbit Systems is providing. The company played live video through UAVs. He stressed that the future combat identification technology will be based on advance C4ISR system which will be integration of advance mapping and video. He said that Elbit Systems’ C4I solutions can multiple times increase power of digital soldiers into network centric warfare.
Source: Our Correspondent